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568 results on '"Subramaniam, Suresh"'

1. Age of Information Optimization and State Error Analysis for Correlated Multi-Process Multi-Sensor Systems

Author

Erbayat, Egemen, Maatouk, Ali, Zou, Peng, and Subramaniam, Suresh

Subjects
Computer Science - Information Theory
Abstract

In this paper, we examine a multi-sensor system where each sensor may monitor more than one time-varying information process and send status updates to a remote monitor over a common channel. We consider that each sensor's status update may contain information about more than one information process in the system subject to the system's constraints. To investigate the impact of this correlation on the overall system's performance, we conduct an analysis of both the average Age of Information (AoI) and source state estimation error at the monitor. Building upon this analysis, we subsequently explore the impact of the packet arrivals, correlation probabilities, and rate of processes' state change on the system's performance. Next, we consider the case where sensors have limited sensing abilities and distribute a portion of their sensing abilities across the different processes. We optimize this distribution to minimize the total AoI of the system. Interestingly, we show that monitoring multiple processes from a single source may not always be beneficial. Our results also reveal that the optimal sensing distribution for diverse arrival rates may exhibit a rapid regime switch, rather than smooth transitions, after crossing critical system values. This highlights the importance of identifying these critical thresholds to ensure effective system performance., Comment: fix typos

Published
2024

2. FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification

Author

Ahmed, Faisal, Lee, Myungjin, Subramaniam, Suresh, Matsuura, Motoharu, Hasegawa, Hiroshi, and Lin, Shih-Chun

Subjects
Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Federated Learning (FL) has garnered significant interest recently due to its potential as an effective solution for tackling many challenges in diverse application scenarios, for example, data privacy in network edge traffic classification. Despite its recognized advantages, FL encounters obstacles linked to statistical data heterogeneity and labeled data scarcity during the training of single-task models for machine learning-based traffic classification, leading to hindered learning performance. In response to these challenges, adopting a hard-parameter sharing multi-task learning model with auxiliary tasks proves to be a suitable approach. Such a model has the capability to reduce communication and computation costs, navigate statistical complexities inherent in FL contexts, and overcome labeled data scarcity by leveraging knowledge derived from interconnected auxiliary tasks. This paper introduces a new framework for federated auxiliary hard-parameter sharing multi-task learning, namely, FedAuxHMTL. The introduced framework incorporates model parameter exchanges between edge server and base stations, enabling base stations from distributed areas to participate in the FedAuxHMTL process and enhance the learning performance of the main task-network edge traffic classification. Empirical experiments are conducted to validate and demonstrate the FedAuxHMTL's effectiveness in terms of accuracy, total global loss, communication costs, computing time, and energy consumption compared to its counterparts.

Published
2024

3. Prioritized Multi-Tenant Traffic Engineering for Dynamic QoS Provisioning in Autonomous SDN-OpenFlow Edge Networks

Author

Shahriar, Mohammad Sajid, Ahmed, Faisal, Chen, Genshe, Pham, Khanh D., Subramaniam, Suresh, Matsuura, Motoharu, Hasegawa, Hiroshi, and Lin, Shih-Chun

Subjects
Computer Science - Networking and Internet Architecture
Abstract

This letter indicates the critical need for prioritized multi-tenant quality-of-service (QoS) management by emerging mobile edge systems, particularly for high-throughput beyond fifth-generation networks. Existing traffic engineering tools utilize complex functions baked into closed, proprietary infrastructures, largely limiting design flexibility, scalability, and adaptiveness. Hence, this study introduces a software-defined networking (SDN)-based dynamic QoS provisioning scheme that prioritizes multi-tenant network traffic while focusing on the base station-edge cloud scenario. The designed scheme first separates control and data planes and enables traffic management automation using SDN programmability. It then implements dynamic QoS management via the SDN-OpenFlow protocol, which ensures ample bandwidth for multiple priority flows and efficiently manages the remaining bandwidth for non-priority traffic. Empirical experiments are conducted with a Mininet network emulator and an OpenDayLight controller. Performance evaluation validates the proposed scheme's effectiveness in meeting multi-tenant QoS criteria, offering a robust solution for traffic prioritization in SDN-based edge networks.

Published
2024

4. How Costly Was That (In)Decision?

Author

Zou, Peng, Maatouk, Ali, Zhang, Jin, and Subramaniam, Suresh

Subjects
Computer Science - Information Theory
Abstract

In this paper, we introduce a new metric, named Penalty upon Decision (PuD), for measuring the impact of communication delays and state changes at the source on a remote decision maker. Specifically, the metric quantifies the performance degradation at the decision maker's side due to delayed, erroneous, and (possibly) missed decisions. We clarify the rationale for the metric and derive closed-form expressions for its average in M/GI/1 and M/GI/1/1 with blocking settings. Numerical results are then presented to support our expressions and to compare the infinite and zero buffer regimes. Interestingly, comparing these two settings sheds light on a buffer length design challenge that is essential to minimize the average PuD.

Published
2023

6. A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions

Author

Mei, Yongsheng, Lan, Tian, Imani, Mahdi, and Subramaniam, Suresh

Subjects
Mathematics - Optimization and Control, Computer Science - Machine Learning
Abstract

Bayesian optimization (BO) is a popular global optimization scheme for sample-efficient optimization in domains with expensive function evaluations. The existing BO techniques are capable of finding a single global optimum solution. However, finding a set of global and local optimum solutions is crucial in a wide range of real-world problems, as implementing some of the optimal solutions might not be feasible due to various practical restrictions (e.g., resource limitation, physical constraints, etc.). In such domains, if multiple solutions are known, the implementation can be quickly switched to another solution, and the best possible system performance can still be obtained. This paper develops a multimodal BO framework to effectively find a set of local/global solutions for expensive-to-evaluate multimodal objective functions. We consider the standard BO setting with Gaussian process regression representing the objective function. We analytically derive the joint distribution of the objective function and its first-order derivatives. This joint distribution is used in the body of the BO acquisition functions to search for local optima during the optimization process. We introduce variants of the well-known BO acquisition functions to the multimodal setting and demonstrate the performance of the proposed framework in locating a set of local optimum solutions using multiple optimization problems., Comment: European Conference on Artificial Intelligence (ECAI) 2023

Published
2022

8. Tenecteplase versus standard of care for minor ischaemic stroke with proven occlusion (TEMPO-2): a randomised, open label, phase 3 superiority trial

Author

Salluzzi, Marina, Blenkin, Nicole, Dueck, Ashley, Doram, Craig, Zhang, Qiao, Kenney, Carol, Ryckborst, Karla, Bohn, Shelly, Collier, Quentin, Taylor, Frances, Lethebe, B. Cord, Jambula, Anitha, Sage, Kayla, Toussaint, Lana, Save, Supryia, Lee, Jaclyn, Laham, N, Sultan, A.A., Deepak, A., Sitaram, A., Demchuk, Andrew M., Lockey, A., Micielli, A., Wadhwa, A., Arabambi, B., Graham, B., Bogiatzi, Chrysi, Doshi, Darshan, Chakraborty, D., Kim, Diana, Vasquez, D, Singh, D, Tse, Dominic, Harrison, E., Smith, E.E., Teleg, E., Klourfeld, E., Klein, G., Sebastian, I.A., Evans, J, Hegedus, J, Kromm, J, Lin, K, Ignacio, K, Ghavami, Kimia, Ismail, M., Moores, M., Panzini, M.A., Boyko, M., Almekhlafi, M.A., Newcommon, Nancy, Maraj, N., Imoukhuede, O., Volny, O., Stys, Peter, Couillard, Phillipe, Ojha, P., Eswaradass, P., Joundi, Raed, Singh, R., Asuncion, R.M., Muir, R.T., Dey, S., Mansoor, S., Wasyliw, S., Nagendra, S., Hu, Sherry, Althubait, S., Chen, S., Bal, S., Van Gaal, Stephen, Peters, Steven, Ray, Sucharita, Chaturvedi, S., Subramaniam, Suresh, Fu, Vivian, Villaluna, K., Maclean, G., King-Azote, P., Ma, C., Plecash, A., Murphy, C., Gorman, J., Wilson, L., Zhou, L., Benevente, O., Teal, P., Yip, S., Mann, S., Dewar, B., Demetroff, M., Shamloul, R., Beardshaw, R., Roberts, S., Blaquiere, D., Stotts, G., Shamy, M., Bereznyakova, O., Fahed, R., Alesefir, W., Lavoie, Suzy, Hache, A., Collard, K, Mackey, A., Gosselin-Lefebvre, S., Verreault, S., Beauchamp, B., Lambourn, L., Khaw, A., Mai, L., Sposato, L., Bres Bullrich, M., Azarpazhooh, R., Fridman, S., Kapoor, A., Southwell, A., Bardi, E., Fatakdawala, I., Kamra, M, Lopes, K., Popel, N., Norouzi, V., Liu, A., Liddy, A.M., Ghoari, B., Hawkes, C., Enriquez, C.A., Gladstone, D.J., Manosalva Alzate, H.A., Khosravani, H., Hopyan, J.J., Sivakumar, K., Son, M., Boulos, M.I., Hamind, M.A., Swartz, R.H., Murphy, R., Reiter, S., Fitzpatrick, T., Bhandari, V., Good, J., Penn, M., Naylor, M., Frost, S., Cayley, A., Akthar, F., Williams, J., Kalman, L., Crellin, L., Wiegner, R., Singh, R.S., Stewart, T., To, W., Singh, S., Pikula, A., Jaigobin, C., Carpani, F., Silver, F., Janssen, H., Schaafsma, J., del Campo, M., Alskaini, M., Rajendram, P., Fairall, P., Granfield, B., Crawford, D., Jabs, J., White, L., Sivakumar, L., Piquette, L., Nguyen, T., Nomani, A., Wagner, A., Alrohimi, A., Butt, A., D'Souza, A., Gajurel, B., Vekhande, C., Kamble, H., Kalashyan, H., Lloret, M., Benguzzi, M., Arsalan, N., Ishaque, N., Ashayeriahmadabad, R., Samiento, R., Hosseini, S., Kazi, S., Das, S., Sugumar, T., Selchen, D., Kostyrko, P., Muccilli, A., Saposnik, A.G., Vandervelde, C., Ratnayake, K., McMillan, S., Katsanos, A., Shoamanesh, A., Sahlas, D.J., Naidoo, V., Todorov, V., Toma, H., Brar, J., Lee, J., Horton, M., Shand, E., Weatherby, S., Jin, A., Durafourt, B., Jalini, S., Gardner, A., Tyson, C., Junk, E., Foster, K., Bolt, K., Sylvain, N., Maley, S., Urroz, L., Peeling, L., Kelly, M., Whelan, R., Cooley, R., Teitelbaum, J., Boutayeb, A., Moore, A., Cole, E., Waxman, L., Ben-Amor, N., Sanchez, R., Khalil, S., Nehme, A., Legault, C., Tampieri, D., Ehrensperger, E., Vieira, L., Cortes, M., Angle, M., Hannouche, M., Badawy, M., Werner, K., Wieszmuellner, S., Langer, A., Gisold, A., Zach, H., Rommer, P., Macher, S., Blechinger, S., Marik, W., Series, W., Baumgartinger, M., Krebs, S., Koski, J., Eirola, S., Ivanoff, T., Erakanto, A., Kupari, L., Sibolt, G., Panula, J., Tomppo, L., Tiainen, M., Ahlstrom, M., Martinez Majander, N., Suomalainen, O., Raty, S., Levi, C., Kerr, E., Allen, J., Kaauwai, L.P., Belevski, L., Russell, M., Ormond, S., Chew, A., Loiselle, A., Royan, A., Hughes, B., Garcia Esperon, C., Pepper, E., Miteff, F., He, J., Lycett, M., Min, M., Murray, N., Pavey, N., Starling de Barros, R., Gangadharan, S., Dunkerton, S., Waller, S., Canento Sanchez, T., Wellings, T., Edmonds, G., Whittaker, K.A., Ewing, M., Lee, P., Singkang, R., McDonald, A., Dos Santos, A., Shin, C., Jackson, D., Tsoleridis, J., Fisicchia, L., Parsons, N., Shenoy, N., Smith, S., Sharobeam, A., Balabanski, A., Park, A., Williams, C., Pavlin-Premri, D., Rodrigues, E., Alemseged, F., Ng, F., Zhao, H., Beharry, J., Ng, J.L., Williamson, J., Wong, J.Z.W., Li, K., Kwan, M.K., Valente, M., Yassi, N., Yogendrakumar, V., McNamara, B., Buchanan, C., McCarthy, C., Thomas, G., Stephens, K., Chung, M., Chung, M.F., Tang, M., Busch, T., Frost, T., Lee, R., Stuart, N., Pachani, N., Menon, A., Borojevic, B., Linton, C.M., Garcia, G., Callaly, E.P., Dewey, H., Liu, J., Chen, J., Wong, J., Nowak, K., To, K., Lizak, N.S., Bhalala, O., Park, P., Tan, P., Martins, R., Cody, R., Forbes, R., Chen, S.K., Ooi, S., Tu, S., Dang, Y.L., Ling, Z., Cranefield, J., Drew, R., Tan, A., Kurunawai, C., Harvey, J., Mahadevan, J.J., Cagi, L., Palanikumar, L., Chia, L.N., Goh, R., El-Masri, S., Urbi, B., Rapier, C., Berrill, H., McEvoy, H., Dunning, R., Kuriakose, S., Chad, T., Sapaen, V., Sabet, A., Shah, D., Yeow, D., Lilley, K., Ward, K., Mozhy Mahizhnan, M., Tan, M., Lynch, C., Coveney, S., Tobin, K., McCabe, J., Marnane, M., Murphy, S., Large, M., Moynihan, B., Boyle, K., Sanjuan, E., Sanchis, M., Boned, S., Pancorbo, O., Sala, V., Garcia, L., Garcia-Tornel, A., Juega, J., Pagola, J., Santana, K., Requena, M., Muchada, M., Olive, M., Lozano, P.J., Rubiera, M., Deck, M., Rodriguez, N., Gomez, B., Reyes Munoz, F.J., Gomez, A.S., Sanz, A.C., Garcia, E.C., Penacoba, G., Ramos, M.E., de Lera Alfonso, M., Feliu, A, Pardo, L., Ramirez, P., Murillo, A., Lopez Dominguez, D., Rodriguez, J., Terceno Izaga, M., Reina, M., Viturro, S.B., Bojaryn, U., Vera Monge, V.A., Silva Blas, Y., R Siew, R., Agustin, S J, Seet, C., Tianming, T., d'Emden, A., Murray, A., Welch, A., Hatherley, K., Day, N., Smith, W., MacRae, E., Mitchell, E.S., Mahmood, A., Elliot, J., Neilson, S., Biswas, V., Brown, C., Lewis, A., Ashton, A., Werring, D., Perry, R., Muhammad, R., Lee, Y.C., Black, A., Robinson, A., Williams, A., Banaras, A., Cahoy, C., Raingold, G., Marinescu, M., Atang, N., Bason, N., Francia, N., Obarey, S., Feerick, S., Joseph, J., Schulz, U., Irons, R., Benjamin, J., Quinn, L., Jhoots, M., Teal, R., Ford, G., Harston, G., Bains, H., Gbinigie, I., Mathieson, P., Sim, C.H., Hayter, E., Kennedy, K., Binnie, L., Priestley, N., Williams, R., Ghatala, R., Stratton, S., Blight, A., Zhang, L., Davies, A., Duffy, H., Roberts, J., Homer, J., Roberts, K., Dodd, K., Cawley, K., Martin, M., Leason, S., Cotgreave, S., Taylor, T., Nallasivan, A., Haider, S., Chakraborty, T., Webster, T., Gil, A., Martin, B., Joseph, B., Cabrera, C., Jose, D., Man, J., Aquino, J., Sebastian, S., Osterdahl, M., Kwan, M., Matthew, M., Ike, N., Bello, P., Wilding, P., Fuentes, R., Shah, R., Mashate, S., Patel, T., Nwanguma, U., Dave, V., Haber, A., Lee, A., O'Sullivan, A., Drumm, B., Dawson, A.C., Matar, T., Roberts, D., Taylor, E., Rounis, E., El-Masry, A., O'Hare, C., Kalladka, D., Jamil, S., Auger, S., Raha, O., Evans, M., Vonberg, F., Kalam, S., Ali Sheikh, A., Jenkins, I.H., George, J., Kwan, J., Blagojevic, J., Saeed, M., Haji-Coll, M., Tsuda, M., Sayed, M., Winterkron, N., Thanbirajah, N., Vittay, O., Karim, R., Smail, R.C., Gauhar, S., Elmamoun, S., Malani, S., Pralhad Kelavkar, S., Hiden, J., Ferdinand, P., Sanyal, R., Varquez, R., Smith, B., Okechukwu, C., Fox, E., Collins, E., Courtney, K., Tauro, S., Patterson, C., McShane, D., Roberts, G., McIImoyle, J., McGuire, K., Fearon, P., Gordon, P., Isaacs, K., Lucas, K., Smith, L., Dews, L., Bates, M., Lawrence, S., Heeley, S., Patel, V., Chin, Y.M., Sims, D., Littleton, E., Khaira, J., Nadar, K., Kieliszkowska, A., Sari, B., Domingos Belo, C., Smith, E., Manolo, E.Y., Aeron-Thomas, J., Doheny, M., Garcia Pardo, M., Recaman, M., Tibajia, M.C., Aissa, M., Mah, Y., Yu, T., Meenakshisundaram, S., Heller, S., Alsukhni, R., Williams, O., Farag, M., Benger, M., Engineer, A., Bayhonan, S., Conway, S., Bhalla, A., Nouvakis, D., Theochari, E., Boyle, F., Teo, J., King-Robson, J., Law, K.Y., Sztriha, L., McGovern, A., Day, D., Mitchell-Douglas, J., Francis, J., Iqbal, A., Punjabivaryani, P., Anonuevo Reyes, J., Anonuevo Reyes, M., Pauls, M., Buch, A., Hedstrom, A., Hutchinson, C., Kirkland, C., Newham, J., Wilkes, G., Fleming, L., Fleck, N., Franca, A., Chwal, B., Oldoni, C., Mantovani, G., Noll, G., Zanella, L., Soma, M., Secchi, T., Borelli, W., Rimoli, B.P., da Cunha Silva, G.H., Machado Galvao Mondin, L.A., Barbosa Cerantola, R., Imthon, A.K., Esaki, A.S., Camilo, M., Vincenzi, O.C., ds Cruz, R.R., Morillos, M.B., Riccioppa Rodrigues, G.G., Santos Ferreira, K., Pazini, A.M., Pena Pereira, M.A., de Albuquerque, A.L.A., Massote Fontanini, C.E., Matinez Rubio, C.F., dos Santos, D.T., Dias, F.A., Alves, F.F.A., Milani, C., Pegorer Santos, B., Winckler, F., De Souza, J.T., Bonome, L.A.M., Cury Silva, V.A., Teodoro, R.S., Modolo, G.P., Ferreira, N.C., Barbosa dos Santos, D.F., dos Santos Moreira, J.C., Cruz Guedes de Morais, A.B., Vieira, J., Mendes, G., de Queiroz, J.P., Coutts, Shelagh B, Ankolekar, Sandeep, Appireddy, Ramana, Arenillas, Juan F, Assis, Zarina, Bailey, Peter, Barber, Philip A, Bazan, Rodrigo, Buck, Brian H, Butcher, Ken S, Camden, Marie-Christine, Campbell, Bruce C V, Casaubon, Leanne K, Catanese, Luciana, Chatterjee, Kausik, Choi, Philip M C, Clarke, Brian, Dowlatshahi, Dar, Ferrari, Julia, Field, Thalia S, Ganesh, Aravind, Ghia, Darshan, Goyal, Mayank, Greisenegger, Stefan, Halse, Omid, Horn, Mackenzie, Hunter, Gary, Imoukhuede, Oje, Kelly, Peter J, Kennedy, James, Kleinig, Timothy J, Krishnan, Kailash, Lima, Fabricio, Mandzia, Jennifer L, Marko, Martha, Martins, Sheila O, Medvedev, George, Menon, Bijoy K, Mishra, Sachin M, Molina, Carlos, Moussaddy, Aimen, Muir, Keith W, Parsons, Mark W, Penn, Andrew M W, Pille, Arthur, Pontes-Neto, Octávio M, Roffe, Christine, Serena, Joaquin, Simister, Robert, Singh, Nishita, Spratt, Neil, Strbian, Daniel, Tham, Carol H, Wiggam, M Ivan, Williams, David J, Willmot, Mark R, Wu, Teddy, Yu, Amy Y X, Zachariah, George, Zafar, Atif, Zerna, Charlotte, and Hill, Michael D

Published
2024
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9. Popcorns-Pro: A Cooperative Network-Server Approach for Data Center Energy Optimization

Author

Dayapule, Sai Santosh, Nguyen, Kathy, Kahl, Gregory, Subramaniam, Suresh, and Venkataramani, Guru

Subjects
Computer Science - Hardware Architecture, Computer Science - Networking and Internet Architecture
Abstract

Data centers have become a popular computing platform for various applications, and they account for nearly 2% of total US energy consumption. Therefore, it has become important to optimize data center power, and reduce their energy footprint. Most existing work optimizes power in servers and networks independently and does not address them together in a holistic fashion that has the potential to achieve greater power savings. In this article, we present PopcornsPro, a cooperative server network framework for energy optimization. We present a comprehensive power model for heterogeneous data center switches along with low power mode designs in combination with the server power model. We design job scheduling algorithms that place tasks onto servers in a power-aware manner, such that servers and network switches can take effective advantage of low power state and available network link capacities. Our experimental results show that we are able to achieve significantly higher savings up to 80% compared to the previously well-known server and network power optimization policies., Comment: Presubmission

Published
2021

10. Overage and Staleness Metrics for Status Update Systems

Author

Zou, Peng, Zhang, Jin, Wei, Xianglin, and Subramaniam, Suresh

Subjects
Computer Science - Information Theory
Abstract

Status update systems consist of sensors that take measurements of a physical parameter and transmit them to a remote receiver. Age of Information (AoI) has been studied extensively as a metric for the freshness of information in such systems with and without an enforced hard or soft deadline. In this paper, we propose three metrics for status update systems to measure the ability of different queuing systems to meet a threshold requirement for the AoI. The {\em overage probability} is defined as the probability that the age of the most recent update packet held by the receiver is larger than the threshold. The {\em stale update probability} is the probability that an update is stale, i.e., its age has exceeded the deadline, when it is delivered to the receiver. Finally, the {\em average overage} is defined as the time average of the overage (i.e., age beyond the threshold), and is a measure of the average ``staleness'' of the update packets held by the receiver. We investigate these metrics in three typical status update queuing systems -- M/G/1/1, M/G/1/$2^*$, and M/M/1. Numerical results show the performances for these metrics under different parameter settings and different service distributions. The differences between the average overage and average AoI are also shown. Our results demonstrate that a lower bound exists for the stale update probability when the buffer size is limited. Further, we observe that the overage probability decreases and the stale update probability increases as the update arrival rate increases.

Published
2021

12. On Age and Value of Information in Status Update Systems

Author

Zou, Peng, Ozel, Omur, and Subramaniam, Suresh

Subjects
Computer Science - Information Theory, Electrical Engineering and Systems Science - Systems and Control
Abstract

Motivated by the inherent value of packets arising in many cyber-physical applications (e.g., due to precision of the information content or an alarm message), we consider status update systems with update packets carrying values as well as their generation time stamps. Once generated, a status update packet has a random initial value and a deterministic deadline after which it is not useful (ultimate staleness). In our model, value of a packet decreases in time (even after reception) starting from its generation to ultimate staleness when it vanishes. The value of information (VoI) at the receiver is additive in that the VoI is the sum of the current values of all packets held by the receiver. We investigate various queuing disciplines under potential dependence between value and service time and provide closed form expressions for average VoI at the receiver. Numerical results illustrate the average VoI for different scenarios and the contrast between average age of information (AoI) and average VoI.

Published
2020

13. Maintaining Information Freshness in Power-Efficient Status Update Systems

Author

Rafiee, Parisa, Zou, Peng, Ozel, Omur, and Subramaniam, Suresh

Subjects
Computer Science - Information Theory, Computer Science - Networking and Internet Architecture
Abstract

This paper is motivated by emerging edge computing systems which consist of sensor nodes that acquire and process information and then transmit status updates to an edge receiver for possible further processing. As power is a scarce resource at the sensor nodes, the system is modeled as a tandem computation-transmission queue with power-efficient computing. Jobs arrive at the computation server with rate $\lambda$ as a Poisson process with no available data buffer. The computation server can be in one of three states: (i) OFF: the server is turned off and no jobs are observed or processed, (ii) ON-Idle: the server is turned on but there is no job in the server, (iii) ON-Busy: the server is turned on and a job is processed in the server. These states cost zero, one and $p_c$ units of power, respectively. Under a long-term power constraint, the computation server switches from one state to another in sequence: first a deterministic $T_o$ time units in OFF state, then waiting for a job arrival in ON-Idle state and then in ON-Busy state for an independent identically distributed compute time duration. The transmission server has a single unit data buffer to save incoming packets and applies last come first serve with discarding as well as a packet deadline to discard a sitting packet for maintaining information freshness, which is measured by the Age of Information (AoI). Additionally, there is a monotonic functional relation between the mean time spent in ON-Busy state and the mean transmission time. We obtain closed-form expressions for average AoI and average peak AoI. Our numerical results illustrate various regimes of operation for best AoI performances optimized over packet deadlines with relation to power efficiency.

Published
2020

14. Optimizing Information Freshness Through Computation-Transmission Tradeoff and Queue Management in Edge Computing

Author

Zou, Peng, Ozel, Omur, and Subramaniam, Suresh

Subjects
Computer Science - Information Theory, Computer Science - Networking and Internet Architecture
Abstract

Edge computing applications typically require generated data to be preprocessed at the source and then transmitted to an edge server. In such cases, transmission time and preprocessing time are coupled, yielding a tradeoff between them to achieve the targeted objective. This paper presents analysis of such a system with the objective of optimizing freshness of received data at the edge server. We model this system as two queues in tandem whose service times are independent over time but the transmission service time is monotonically dependent on the computation service time in mean value. This dependence captures the natural decrease in transmission time due to lower offloaded computation. We analyze various queue management schemes in this tandem queue where the first queue has a single server, Poisson packet arrivals, general independent service and no extra buffer to save incoming status update packets. The second queue has a single server receiving packets from the first queue and service is memoryless. We consider the second queue in two forms: (i) No data buffer and (ii) One unit data buffer and last come first serve with discarding. We analyze various non-preemptive as well as preemptive cases. We perform stationary distribution analysis and obtain closed form expressions for average age of information (AoI) and average peak AoI. Our numerical results illustrate analytical findings on how computation and transmission times could be traded off to optimize AoI and reveal a consequent tradeoff between average AoI and average peak AoI., Comment: arXiv admin note: substantial text overlap with arXiv:1907.00928

Published
2019

15. HolDCSim: A Holistic Simulator for Data Centers

Author

Yao, Fan, Ngyugen, Kathy, Dayapule, Sai Santosh, Wu, Jingxin, Lu, Bingqian, Subramaniam, Suresh, and Venkataramani, Guru

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Cloud computing based systems, that span data centers, are commonly deployed to offer high performance for user service requests. As data centers continue to expand, computer architects and system designers are facing many challenges on how to balance resource utilization efficiency, server and network performance, energy consumption and quality-of-service (QoS) demands from the users. To develop effective data center management policies, it becomes essential to have an in-depth understanding and synergistic control of the various sub-components inside large scale computing systems, that include both computation and communication resources. In this paper, we propose HolDCSim, a light-weight, holistic, extensible, event-driven data center simulation platform that effectively models both server and network architectures. HolDCSim can be used in a variety of data center system studies including job/task scheduling, resource provisioning, global and local server farm power management, and network and server performance analysis. We demonstrate the design of our simulation infrastructure, and illustrate the usefulness of our framework with several case studies that analyze server/network performance and energy efficiency. We also perform validation on real machines to verify our simulator.

Published
2019

16. Trading Off Computation with Transmission in Status Update Systems

Author

Zou, Peng, Ozel, Omur, and Subramaniam, Suresh

Subjects
Computer Science - Information Theory, Computer Science - Networking and Internet Architecture
Abstract

This paper is motivated by emerging edge computing applications in which generated data are pre-processed at the source and then transmitted to an edge server. In such a scenario, there is typically a tradeoff between the amount of pre-processing and the amount of data to be transmitted. We model such a system by considering two non-preemptive queues in tandem whose service times are independent over time but the transmission service time is dependent on the computation service time in mean value. The first queue is in M/GI/1/1 form with a single server, memoryless exponential arrivals, general independent service and no extra buffer to save incoming status update packets. The second queue is in GI/M/1/2* form with a single server receiving packets from the first queue, memoryless service and a single data buffer to save incoming packets. Additionally, mean service times of the first and second queues are dependent through a deterministic monotonic function. We perform stationary distribution analysis in this system and obtain closed form expressions for average age of information (AoI) and average peak AoI. Our numerical results illustrate the analytical findings and highlight the tradeoff between average AoI and average peak AoI generated by the tandem nature of the queueing system with dependent service times.

Published
2019

17. A Reconfigurable High-Performance Optical Data Center Architecture

Author

Liu, Chong, Xu, Maotong, and Subramaniam, Suresh

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Optical data center network architectures are becoming attractive because of their low energy consumption, large bandwidth, and low cabling complexity. In\cite{Xu1605:PODCA}, an AWGR-based passive optical data center architecture (PODCA) is presented. Compared with other optical data center architectures, e.g., DOS \cite{ye2010scalable}, Proteus \cite{singla2010proteus}, and Petabit \cite{xia2010petabit}, PODCA can save up to 90$\%$ on power consumption and 88$\%$ in cost. Also, average latency can be low as 9 $\mu$s at close to 100$\%$ throughput. However, PODCA is not reconfigurable and cannot optimize the network topology to dynamic traffic. In this paper, we present a novel, scalable and flexible reconfigurable architecture called RODCA. RODCA is built on and augments PODCA with a flexible localized intra-cluster optical network. With the reconfigurable intra-cluster network, racks with mutually large traffic can be located within the same cluster, and share the large bandwidth of the intra-cluster network. We present an algorithm for DCN topology reconfiguration, and present simulation results to demonstrate the effectiveness of reconfiguration.

Published
2019

18. A Hierarchical WDM-based Scalable Data Center Network Architecture

Author

Xu, Maotong, Diakonikolas, Jelena, Modiano, Eytan, and Subramaniam, Suresh

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Massive data centers are at the heart of the Internet. The rapid growth of Internet traffic and the abundance of rich data-driven applications have raised the need for enormous network bandwidth. Towards meeting this growing traffic demand, optical interconnects have gained significant attention, as they can provide high throughput, low latency, and scalability. In particular, optical Wavelength Division Multiplexing (WDM) provides the possibility to build data centers comprising of millions of servers, while providing hundreds of terabits per second bandwidth. In this paper, we propose a WDM-based Reconfigurable Hierarchical Optical Data Center Architecture (RHODA) that can satisfy future Internet traffic demands. To improve scalability, our DCN architecture is hierarchical, as it groups server racks into clusters. Cluster membership is reconfigurable through the use of optical switches. Each cluster enables heavy-traffic communication among the racks within. To support varying traffic patterns, the inter-cluster network topology and link capacities are also reconfigurable, which is achieved through the use of optical space switches and Wavelength Selective Switches (WSSs). Our simulation results demonstrate that in terms of average hop distance, RHODA outperforms OSA, FatTree and WaveCube by up to 81%, 66% and 60%, respectively.

Published
2019

19. Relative Age of Information: A New Metric for Status Update Systems

Author

Zou, Peng, Ozel, Omur, and Subramaniam, Suresh

Subjects
Computer Science - Information Theory, Computer Science - Networking and Internet Architecture
Abstract

In this paper, we introduce a new data freshness metric, relative Age of Information (rAoI), and examine it in a single server system with various packet management schemes. The (classical) AoI metric was introduced to measure the staleness of status updates at the receiving end with respect to their generation at the source. This metric addresses systems where the timings of update generation at the source are absolute and can be designed separately or jointly with the transmission schedules. In many decentralized applications, transmission schedules are blind to update generation timing, and the transmitter can know the timing of an update packet only after it arrives. As such, an update becomes stale after a new one arrives. The rAoI metric measures how fresh the data is at the receiver with respect to the data at the transmitter. It introduces a particularly explicit dependence on the arrival process in the evaluation of age. We investigate several queuing disciplines and provide closed form expressions for rAoI and numerical comparisons.

Published
2019

20. Waiting before Serving: A Companion to Packet Management in Status Update Systems

Author

Zou, Peng, Ozel, Omur, and Subramaniam, Suresh

Subjects
Computer Science - Information Theory, Computer Science - Networking and Internet Architecture
Abstract

In this paper, we explore the potential of server waiting before packet transmission in improving the Age of Information (AoI) in status update systems. We consider a non-preemptive queue with Poisson arrivals and independent general service distribution and we incorporate waiting before serving in two packet management schemes: M/GI/1/1 and M/GI/1/$2^*$. In M/GI/1/1 scheme, the server waits for a deterministic time immediately after a packet enters the server. In M/GI/1/$2^*$ scheme, depending on idle or busy system state, the server waits for a deterministic time before starting service of the packet. In both cases, if a potential newer arrival is captured existing packet is discarded. Different from most existing works, we analyze AoI evolution by indexing the incoming packets, which is enabled by an alternative method of partitioning the area under the evolution of instantaneous AoI to calculate its time average. We obtain expressions for average and average peak AoI for both queueing disciplines with waiting. Our numerical results demonstrate that waiting before service can bring significant improvement in average age, particularly, for heavy-tailed service distributions. This improvement comes at the expense of an increase in average peak AoI. We highlight the trade-off between average and average peak AoI generated by waiting before serving.

Published
2019

25. Quality of Life After Intravenous Thrombolysis for Acute Ischemic Stroke: Results From the AcT Randomized Controlled Trial

Author

Sajobi, Tolulope T., primary, Arimoro, Olayinka I., additional, Ademola, Ayoola, additional, Singh, Nishita, additional, Bala, Fouzi, additional, Almekhlafi, Mohammed A., additional, Deschaintre, Yan, additional, Coutts, Shelagh B., additional, Thirunavukkarasu, Sibi, additional, Khosravani, Houman, additional, Appireddy, Ramana, additional, Moreau, François, additional, Gubitz, Gordon J., additional, Tkach, Aleksander, additional, Catanese, Luciana, additional, Dowlatshahi, Dar, additional, Medvedev, George, additional, Mandzia, Jennifer, additional, Pikula, Aleksandra, additional, Shankar, Jai Shiva, additional, Williams, Heather, additional, Field, Thalia S., additional, Manosalva, Alejandro, additional, Siddiqui, Muzaffar, additional, Zafar, Atif, additional, Imoukhuede, Oje, additional, Hunter, Gary, additional, Demchuk, Andrew M., additional, Mishra, Sachin M., additional, Gioia, Laura C., additional, Jalini, Shirin, additional, Cayer, Caroline, additional, Phillips, Stephen J., additional, Elamin, Elsadig, additional, Shoamanesh, Ashkan, additional, Subramaniam, Suresh, additional, Kate, Mahesh P., additional, Jacquin, Gregory, additional, Camden, Marie-Christine, additional, Benali, Faysal, additional, Alhabli, Ibrahim, additional, Horn, MacKenzie, additional, Stotts, Grant, additional, Hill, Michael D., additional, Gladstone, David J., additional, Poppe, Alexandre Y., additional, Sehgal, Arshia, additional, Zhang, Qiao, additional, Lethebe, Brendan, additional, Doram, Craig, additional, Shamy, Michel, additional, Kenney, Carol, additional, Buck, Brian H., additional, Swartz, Richard H., additional, and Menon, Bijoy K., additional

Published
2024
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26. Chronos: A Unifying Optimization Framework for Speculative Execution of Deadline-critical MapReduce Jobs

Author

Xu, Maotong, Alamro, Sultan, Lan, Tian, and Subramaniam, Suresh

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Meeting desired application deadlines in cloud processing systems such as MapReduce is crucial as the nature of cloud applications is becoming increasingly mission-critical and deadline-sensitive. It has been shown that the execution times of MapReduce jobs are often adversely impacted by a few slow tasks, known as stragglers, which result in high latency and deadline violations. While a number of strategies have been developed in existing work to mitigate stragglers by launching speculative or clone task attempts, none of them provides a quantitative framework that optimizes the speculative execution for offering guaranteed Service Level Agreements (SLAs) to meet application deadlines. In this paper, we bring several speculative scheduling strategies together under a unifying optimization framework, called Chronos, which defines a new metric, Probability of Completion before Deadlines (PoCD), to measure the probability that MapReduce jobs meet their desired deadlines. We systematically analyze PoCD for popular strategies including Clone, Speculative-Restart, and Speculative-Resume, and quantify their PoCD in closed-form. The result illuminates an important tradeoff between PoCD and the cost of speculative execution, measured by the total (virtual) machine time required under different strategies. We propose an optimization problem to jointly optimize PoCD and execution cost in different strategies, and develop an algorithmic solution that is guaranteed to be optimal. Chronos is prototyped on Hadoop MapReduce and evaluated against three baseline strategies using both experiments and trace-driven simulations, achieving 50% net utility increase with up to 80% PoCD and 88% cost improvements.

Published
2018

27. On the Approximability of Related Machine Scheduling under Arbitrary Precedence

Author

Aggarwal, Vaneet, Lan, Tian, Subramaniam, Suresh, and Xu, Maotong

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Data Structures and Algorithms
Abstract

Distributed computing systems often need to consider the scheduling problem involving a collection of highly dependent data-processing tasks that must work in concert to achieve mission-critical objectives. This paper considers the unrelated machine scheduling problem for minimizing weighted sum completion time under arbitrary precedence constraints and on heterogeneous machines with different processing speeds. The problem is known to be strongly NP-hard even in the single machine setting. By making use of Queyranne's constraint set and constructing a novel Linear Programming relaxation for the scheduling problem under arbitrary precedence constraints, our results in this paper advance the state of the art. We develop a $2(1+(m-1)/D)$-approximation algorithm (and $2(1+(m-1)/D)+1$-approximation) for the scheduling problem with zero release time (and arbitrary release time), where $m$ is the number of servers and $D$ is the task-skewness product. The algorithm can be efficiently computed in polynomial time using the Ellipsoid method and achieves nearly optimal performance in practice as $D>O(m)$ when the number of tasks per job to schedule is sufficiently larger than the number of machines available. Our implementation and evaluation using a heterogeneous testbed and real-world benchmarks confirms significant improvement in weighted sum completion time for dependent computing tasks., Comment: Accepted to IEEE Transactions on Network and Service Management, Apr 2021

Published
2017

29. Intravenous tenecteplase compared with alteplase for acute ischaemic stroke in Canada (AcT): a pragmatic, multicentre, open-label, registry-linked, randomised, controlled, non-inferiority trial

Author

Srivastava, Abhilekh, Aljammaz, Ahmed M, Akindotun, Akintomide Femi, Jin, Albert Y, Fraser, Alexander, Khaw, Alexander V, Lemnaru, Alexandru, Southwell, Alisia, Ramji, Alnar, Alvarado-Bolaños, Alonso, Mouminah, Amr, Lahlouh, Amro B, Yu, Amy Y, Alrohimi, Anas, Lavoie, Andre, Rogge, Andrea, Micieli, Andrew, Nguyen, Andrew Linh, Callaghan-Brown, Angelique, Florendo-Cumbermack, Anita, Wadhwa, Ankur, Beaudoin, Ann-Marie, Cayley, Anne, Liddy, Anne Marie, Trivedi, Anurag, Katsanos, Aristeidis H, Shuaib, Ashfaq, Butt, Asif Javed, Bereznyakova, Olena, Beauchamp, Beth, Mahlitz, Breane, Graham, Brett R, Dewar, Brian, Buck, Brian H, Durafourt, Bryce A, Holtby, Caitlin, Jackson-Tarlton, Caitlin S, Bockus, Caitlyn, Stephenson, Caroline, Galloway, Camille, Odier, Céline, Deacon, Charles, Zerna, Charlotte, Vekhande, Chetan C, Bocti, Christian, Stapf, Christian, Hawkes, Christine, Stables, Christine Anne, Bogiatzi, Chrysi, Rodriguez, Claudia, Candale-Radu, Claudia, Murphy, Colleen, Casserly, Courtney Sarah, Fok, Daniel, Boasquevisque, Danielle de Sa, Wile, Daryl, Volders, David, Sahlas, Demetrios J, Shand, Elaine, Cora, Elena Adela, Battista, Eliane Di, Stewart, Eileen, Junk, Emily, Harrison, Emma L, Frenette, Eric, Teleg, Ericka, Abdellah, Eslam, Ghrooda, Esseddeeg, Akthar, Farhana, Evoy, François, Klein, Gary M, Maclean, Genoveva, Jickling, Glen C, Hawthorne, Glenda, Boyd, Gordon, Walker, Gregory, Saposnik, Gustavo, Lau, H Lee, Badr, Hanan E, Toma, Hassanain, Kalashyan, Hayrapet, Marion-Moffet, Hugo, Grant, Ian, Fatakdawala, Idris, Beaulieu-Boire, Isabelle, Williams, Janice, Brar, Jaskiran, Rivest, Jean, Wang, Jeffrey Z, Dawe, Jessica, Stang, Jillian, Day, Joanne, Miller, Jodi, Gorman, Johnathon, Hopyan, Julia Jasmine, Lee, Julian, Kromm, Julie, Foster, Kaitlyn, Ratnayake, Kanchana, Perera, Kanjana S, Murray, Karina Villaluna, Ryckborst, Karla, Lin, Katie, Sage, Kayla, Sivakuma, Keithan, MacDonald, Kelly A, Ng, Kelvin Kuan, Merchant, Ketki, Khan, Khurshid, Ghavami, Kimia, Johnston, Kyra, Mai, Lauren M, White, Leah, Barratt, Lee, Longpre, Linda, Crellin, Lisa, Peeling, Lissa, Piquette, Lori, Lomax, Lysa Boissé, Sadeghi, Mahsa, Kamra, Maneesha, Lavoie-April, Manuel, Moores, Margaret, Bullrich, Maria Bres, McClelland, Marie, Salluzzi, Marina, Wilcox, Mark, Boulos, Mark I, Marko, Martha, Boyko, Matthew, Lantagne-Hurtubise, Maude, AlHamid, May Adel, Shawawrah, Mays, Kelly, Michael E, Thorne, Michael W D, Shamy, Michel, Bussiere, Miguel, Dominc Tse, Ming Yin, Benguzzi, Mowad, Sharma, Mukul, Horton, Myles, Newcommon, Nancy, Simon, Nandy-Shelwine, Parks, Natalie E, Sultan, Nazeem, Markovic, Nevena, Daneault, Nicole, Ishaque, Noman, Fairall, Paige, Kostyrko, Pawel B, Stys, Peter K, Teal, Philip, Couillard, Philippe, King-Azote, Princess, Collier, Quentin, Epp, Rachel, Nair, Radhika, Joundi, Raed A, Jassal, Rajive, Schneider, Raphael, Hosseini, Reza, Bouchard, Rosalie, Whelan, Ruth, Cooley, S Regan, Sujanthan, Sajeevan, Mansoor, Salman, Yip, Samuel, Wasyliw, Sanchea, Taylor, Sean W., Friedman, Sebastian, Mann, Sharan, Maley, Sharleen Weese, Chiasson, Sherry, Hu, Sherry Xueying, Althubait, Shorog, Himed, Shuhira, Chen, Shuo, Bal, Simerpreet S, Page, Stacey A, Beck, Stacey D, Woodroffe, Stephanie, Reiter, Stephanie D, Gaal, Stephen van, Peters, Steven Ray, Darvesh, Sultan, Save, Supriya, Alcock, Susan, Piercey, Susannah, Adam, Suzie, Gosselin, Sylvie, Fitzpatrick, Tess, Perron, Thomas-Louis, Stewart, Tim, Benstead, Timothy J, Naidoo, Vishaya, Wahab, Wasan Abd, Oczkowski, Wiesław, Kingston, William, Leduc, William, To, William T H, Yu, Yeyao Joe, Liu, Zhongyu A, Aljundi, Ziad Ezzat, Menon, Bijoy K, Singh, Nishita, Deschaintre, Yan, Almekhlafi, Mohammed A, Coutts, Shelagh B, Thirunavukkarasu, Sibi, Khosravani, Houman, Appireddy, Ramana, Moreau, Francois, Gubitz, Gord, Tkach, Aleksander, Catanese, Luciana, Dowlatshahi, Dar, Medvedev, George, Mandzia, Jennifer, Pikula, Aleksandra, Shankar, Jai, Williams, Heather, Field, Thalia S, Manosalva, Alejandro, Siddiqui, Muzaffar, Zafar, Atif, Imoukhuede, Oje, Hunter, Gary, Demchuk, Andrew M, Mishra, Sachin, Gioia, Laura C, Jalini, Shirin, Cayer, Caroline, Phillips, Stephen, Elamin, Elsadig, Shoamanesh, Ashkan, Subramaniam, Suresh, Kate, Mahesh, Jacquin, Gregory, Camden, Marie-Christine, Benali, Faysal, Alhabli, Ibrahim, Bala, Fouzi, Horn, MacKenzie, Stotts, Grant, Hill, Michael D, Gladstone, David J, Poppe, Alexandre, Sehgal, Arshia, Zhang, Qiao, Lethebe, Brendan Cord, Doram, Craig, Ademola, Ayoola, Kenney, Carol, Sajobi, Tolulope T, and Swartz, Richard H

Published
2022
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30. Time Course of Early Hematoma Expansion in Acute Spot-Sign Positive Intracerebral Hemorrhage: Prespecified Analysis of the SPOTLIGHT Randomized Clinical Trial

Author

Al-Ajlan, Fahad S., Gladstone, David J., Song, Dongbeom, Thorpe, Kevin E., Swartz, Rick H., Butcher, Kenneth S., del Campo, Martin, Dowlatshahi, Dar, Gensicke, Henrik, Lee, Gloria Jooyoung, Flaherty, Matthew L., Hill, Michael D., Aviv, Richard I., Demchuk, Andrew M., Swartz, Richard H., Gladstone, David J., Boyle, Karl, Braganza, Maria, Fedasko, Nadia, Golob, Dolores, Bardi, Edith, Senyshyn, Samantha, Cayley, Megan, Colavecchia, Connie, Demchuk, Andrew M., Hill, Michael D., Coutts, Shelagh, Klein, Gary, Menon, Bijoy, Watson, Tim, Smith, Eric, Subramaniam, Suresh, Bal, Simerpreet, Barber, Philip, Camden, Marie-Christine, Horton, Myles, Mishra, Sachin, Nambiar, Vivek, Torres, Andres Venegas, Adatia, Sweta, Alseraya, Amjad, Desai, Jamsheed, Mandzia, Jennifer, Shamy, Michel, Trivedi, Anurag, Choi, Philip, Dubuc, Veronique, Klourfeld, Evgenia, Field, Thalia, Singh, Dilip, Musuka, Tapuwa, Bloujney, Sarah, Nikneshan, Davar, Imoukhuede, Oje, Yu, Amy, Appireddy, Ramana, Evans, Jamie, Ryckborst, Karla, Calvert, Carly, Dowlatshahi, Dariush, Stotts, Grant, Sharma, Mukul, Robert, Sohail, Mortensen, Melodie, Shamloul, Rany, Campo, Martin Del, Silver, Frank L., Casaubon, Leanne, Jaigobin, Cheryl, Perez, Yael, Kalman, Libby, Abraham, Jemini, Wiegner, Relu, Cayley, Anne, Riediger, Victoria, Butcher, Ken, Kate, Mahesh, Jeerakathil, Thomas, Shuaib, Ashfaq, Gaucher, Sylvia, Sivakumar, Leka, Yip, Samuel, Teal, Philip, Woolfenden, Andrew, Benavente, Oscar, Beckman, Jeff, Murphy, Colleen, Field, Thalia, Asdaghi, Negar, Villaluna-MurrVay, Karina, Sahlas, Demetrios J., Algird, Almunder, Knapman, Jordan, Macmillan, Sue, Sancan, Janice, Mehdiratta, Manu, Perez, Yael, John, Verity, Dhanani, AlNoor, Temple, Bryan, Douen, Andre, Selchen, Daniel, Saposnik, Gustavo, Kostyrko, Pawel, Chan, Richard, Young, Bryan, Kumar, Balagopal, Soros, Peter, Hesser, Kimberley, Wright, Mary, Frank, Connie, Amato-Marziali, Belinda, Deschaintre, Yan, Poppe, Alexandre, Lapierre, Marlene, Boulanger, Jean-Martin, Berger, Leo, Blais, Lise, Simard, Christel, Teitelbaum, Jeanne, Campbell, Natasha, Jin, Al, Breen, Adriana, and Bickford, Suzanne

Published
2023
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33. Second asymptomatic carotid surgery trial (ACST-2): a randomised comparison of carotid artery stenting versus carotid endarterectomy

Author

Halliday, Alison, Bulbulia, Richard, Bonati, Leo H, Peto, Richard, Pan, Hongchao, Potter, John, Henning Eckstein, Hans, Farrell, Barbara, Flather, Marcus, Mansfield, Averil, Mihaylova, Boby, Rahimi, Kazim, Simpson, David, Thomas, Dafydd, Sandercock, Peter, Gray, Richard, Molyneux, Andrew, Shearman, Cliff P, Rothwell, Peter, Belli, Anna, Herrington, Will, Judge, Parminder, Leopold, Peter, Mafham, Marion, Gough, Michael, Cao, Piergiorgio, MacDonald, Sumaira, Bari, Vasha, Berry, Clive, Bradshaw, S, Brudlo, Wojciech, Clarke, Alison, Chester, Johanna, Cox, Robin, Cradduck-Bamford, Andrea, Fathers, Susan, Gaba, Kamran, Gray, Mo, Hayter, Elizabeth, Holliday, Constance, Kurien, Rijo, Lay, Michael, le Conte, Steffi, McManus, Jessica, Madgwick, Zahra, Morris, Dylan, Munday, Andrew, Pickworth, Sandra, Ostasz, Wiktor, Poorthuis, Michiel, Richards, Sue, Teixeira, Louisa, Tochlin, Sergey, Tully, Lynda, Wallis, Carol, Willet, Monique, Young, Alan, Casana, Renato, Malloggi, Chiara, Odero Jr, Andrea, Silani, Vincenzo, Parati, Gianfranco, Malchiodi, Giuseppe, Malferrari, Giovanni, Strozzi, Francesco, Tusini, Nicola, Vecchiati, Enrico, Coppi, Gioacchino, Lauricella, Antonio, Moratto, Roberto, Silingardi, Roberto, Veronesi, Jessica, Zini, Andrea, Ferrero, Emanuele, Ferri, Michelangelo, Gaggiano, Andrea, Labate, Carmelo, Nessi, Franco, Psacharopulo, Daniele, Viazzo, Andrea, Malacrida, Giovanni, Mazzaccaro, Daniela, Meola, Giovanni, Modafferi, Alfredo, Nano, Giovanni, Occhiuto, Maria Teresa, Righini, Paolo, Stegher, Silvia, Chiarandini, Stefano, Griselli, Filippo, Lepidi, Sandro, Pozzi Mucelli, Fabio, Naccarato, Marcello, D'Oria, Mario, Ziani, Barbara, Stella, Andrea, Dieng, Mortalla, Faggioli, Gianluca, Gargiulo, Mauro, Palermo, Sergio, Pini, Rodolfo, Puddu, Giovanni Maria, Vacirca, Andrea, Angiletta, Domenico, Desantis, Claudio, Marinazzo, Davide, Mastrangelo, Giovanni, Regina, Guido, Pulli, Raffaele, Bianchi, Paolo, Cireni, Lea, Coppi, Elisabetta, Pizzirusso, Rocco, Scalise, Filippo, Sorropago, Giovanni, Tolva, Valerio, Caso, Valeria, Cieri, Enrico, DeRango, Paola, Farchioni, Luca, Isernia, Giacomo, Lenti, Massimo, Parlani, Gian Battista, Pupo, Guglielmo, Pula, Grazia, Simonte, Gioele, Verzini, Fabio, Carimati, Federico, Delodovici, Maria Luisa, Fontana, Federico, Piffaretti, Gabriele, Tozzi, Matteo, Civilini, Efrem, Poletto, Giorgio, Reimers, Bernhard, Praquin, Barbara, Ronchey, Sonia, Capoccia, Laura, Mansour, Wassim, Sbarigia, Enrico, Speziale, Francesco, Sirignano, Pasqualino, Toni, Danilo, Galeotti, Roberto, Gasbarro, Vincenzo, Mascoli, Francesco, Rocca, Tiberio, Tsolaki, Elpiniki, Bernardini, Giulia, DeMarco, Ester, Giaquinta, Alessia, Patti, Francesco, Veroux, Massimiliano, Veroux, Pierfrancesco, Virgilio, Carla, Mangialardi, Nicola, Orrico, Matteo, Di Lazzaro, Vincenzo, Montelione, Nunzio, Spinelli, Francesco, Stilo, Francesco, Cernetti, Carlo, Irsara, Sandro, Maccarrone, Giuseppe, Tonello, Diego, Visonà, Adriana, Zalunardo, Beniamino, Chisci, Emiliano, Michelagnoli, Stefano, Troisi, Nicola, Masato, Maela, Dei Negri, Massimo, Pacchioni, Andrea, Saccà, Salvatore, Amatucci, Giovanni, Cannizzaro, Alfredo, Accrocca, Federico, Ambrogi, Cesare, Barbazza, Renzo, Marcucci, Giustino, Siani, Andrea, Bajardi, Guido, Savettieri, Giovanni, Argentieri, Angelo, Corbetta, Riccardo, Odero, Attilio, Quaretti, Pietro, Thyrion, Federico Z, Cappelli, Alessandro, Benevento, Domenico, De Donato, Gianmarco, Mele, Maria Agnese, Palasciano, Giancarlo, Pieragalli, Daniela, Rossi, Alessandro, Setacci, Carlo, Setacci, Francesco, Palombo, Domenico, Perfumo, Maria Cecilia, Martelli, Edoardo, Paolucci, Aldo, Trimarchi, Santi, Grassi, Viviana, Grimaldi, Luigi, La Rosa, Giuliana, Mirabella, Domenico, Scialabba, Matteo, Sichel, Leonildo, D'Angelo, Costantino L, Fadda, Gian Franco, Kasemi, Holta, Marino, Mario, Burzotta, Francesco, Codispoti, Francesco Alberto, Ferrante, Angela, Tinelli, Giovanni, Tshomba, Yamume, Vincenzoni, Claudio, Amis, Deborah, Anderson, Dawn, Catterson, Martin, Clarke, Mike, Davis, Michelle, Dixit, Anand, Dyker, Alexander, Ford, Gary, Jackson, Ralph, Kappadath, Sreevalsan, Lambert, David, Lees, Tim, Louw, Stephen, McCaslin, James, Parr, Noala, Robson, Rebecca, Stansby, Gerard, Wales, Lucy, Wealleans, Vera, Wilson, Lesley, Wyatt, Michael, Baht, Hardeep, Balogun, Ibrahim, Burger, Ilse, Cosier, Tracy, Cowie, Linda, Gunathilagan, Gunaratnam, Hargroves, David, Insall, Robert, Jones, Sally, Rudenko, Hannah, Schumacher, Natasha, Senaratne, Jawaharlal, Thomas, George, Thomson, Audrey, Webb, Tom, Brown, Ellen, Esisi, Bernard, Mehrzad, Ali, MacSweeney, Shane, McConachie, Norman, Southam, Alison, Sunman, Wayne, Abdul-Hamiq, Ahmed, Bryce, Jenny, Chetter, Ian, Ettles, Duncan, Lakshminarayan, Raghuram, Mitchelson, Kim, Rhymes, Christopher, Robinson, Graham, Scott, Paul, Vickers, Alison, Ashleigh, Ray, Butterfield, Stephen, Gamble, Ed, Ghosh, Jonathan, McCollum, Charles N, Welch, Mark, Welsh, Sarah, Wolowczyk, Leszek, Donnelly, Mary, D'Souza, Stephen, Egun, Anselm A, Gregary, Bindu, Joseph, Thomas, Kelly, Christine, Punekar, Shuja, Rahi, M Asad, Raj, Sonia, Seriki, Dare, Thomson, George, Brown, James, Durairajan, Ragunath, Grunwald, Iris, Guyler, Paul, Harman, Paula, Jakeways, Matthew, Khuoge, Christopher, Kundu, Ashish, Loganathan, Thayalini, Menon, Nisha, Prabakaran, Raji O, Sinha, Devesh, Thompson, Vicky, Tysoe, Sharon, Briley, Dennis, Darby, Chris, Hands, Linda, Howard, Dominic, Kuker, Wilhelm, Schulz, Ursula, Teal, Rachel, Barer, David, Brown, Andrew, Crawford, Susan, Dunlop, Paul, Krishnamurthy, Ramesh, Majmudar, Nikhil, Mitchell, Duncan, Myint, Min P, O'Brien, Richard, O'Connell, Janice, Sattar, Naweed, Vetrivel, Shanmugam, Beard, Jonathan, Cleveland, Trevor, Gaines, Peter, Humphreys, John, Jenkins, Alison, King, Craig, Kusuma, Daniel, Lindert, Ralph, Lonsdale, Robbie, Nair, Raj, Nawaz, Shah, Okhuoya, Faith, Turner, Douglas, Venables, Graham, Dorman, Paul, Hughes, Andrea, Jones, Deborah, Mendelow, David, Rodgers, Helen, Raudoniitis, Aidas, Enevoldson, Peter, Nahser, Hans, O'Brien, Imelda, Torella, Francesco, Watling, Dave, White, Richard, Brown, Pauline, Dutta, Dipankar, Emerson, Lorraine, Hilltout, Paula, Kulkarni, Sachin, Morrison, Jackie, Poskitt, Keith, Slim, Fiona, Smith, Sarah, Tyler, Amanda, Waldron, Joanne, Whyman, Mark, Bajoriene, Milda, Baker, Lucy, Colston, Amanda, Eliot-Jones, Bekky, Gramizadeh, Gita, Lewis-Clarke, Catherine, McCafferty, Laura, Oliver, Deborah, Palmer, Debbie, Patil, Abhijeet, Pegler, Suzannah, Ramadurai, Gopi, Roberts, Aisling, Sargent, Tracey, Siddegowda, Shivaprasad, Singh-Ranger, Ravi, Williams, Akintunde, Williams, Lucy, Windebank, Steve, Zuromskis, Tadas, Alwis, Lanka, Angus, Jane, Asokanathan, Asaipillai, Fornolles, Caroline, Hardy, Diana, Hunte, Sophy, Justin, Frances, Phiri, Duke, Mitabouana-Kibou, Marie, Sekaran, Lakshmanan, Sethuraman, Sakthivel, Tate, Margaret L, Akyea-Mensah, Joyce, Ball, Stephen, Chrisopoulou, Angela, Keene, Elizabeth, Phair, Alison, Rogers, Steven, Smyth, John V, Bicknell, Colin, Chataway, Jeremy, Cheshire, Nicholas, Clifton, Andrew, Eley, Caroline, Gibbs, Richard, Hamady, Mohammad, Hazel, Beth, James, Alex, Jenkins, Michael, Khanom, Nyma, Lacey, Austin, Mireskandari, Maz, O'Reilly, Joanna, Pereira, Antony, Sachs, Tina, Wolfe, John, Davey, Philip, Rogers, Gill, Smith, Gemma, Tervit, Gareth, Nichol, Ian, Parry, Andrew, Young, Gavin, Ashley, Simon, Barwell, James, Dix, Francis, Nor, Azlisham M, Parry, Chris, Birt, Angela, Davies, Paul, George, Jim, Graham, Anne, Jonker, Leon, Kelsall, Nicci, Potts, Caroline, Wilson, Toni, Crinnion, Jamie, Cuenoud, Larissa, Aleksic, Nikola, Babic, Srdan, Ilijevski, Nenad, Radak, Đorde, Sagic, Dragan, Tanaskovic, Slobodan, Colic, Momcilo, Cvetic, Vladimir, Davidovic, Lazar, Jovanovic, Dejana R, Koncar, Igor, Mutavdžic, Perica, Sladojevic, Miloš, Tomic, Ivan, Debus, Eike S, Grzyska, Ulrich, Otto, Dagmar, Thomalla, Götz, Barlinn, Jessica, Gerber, Johannes, Haase, Kathrin, Hartmann, Christian, Ludwig, Stefan, Pütz, Volker, Reeps, Christian, Schmidt, Christine, Weiss, Norbert, Werth, Sebastian, Winzer, Simon, Gemper, Janine, Günther, Albrecht, Heiling, Bianka, Jochmann, Elisabeth, Karvouniari, Panagiota, Klingner, Carsten, Mayer, Thomas, Schubert, Julia, Schulze-Hartung, Friederike, Zanow, Jürgen, Bausback, Yvonne, Borger, Franka, Botsios, Spiridon, Branzan, Daniela, Bräunlich, Sven, Hölzer, Henryk, Lenzer, Janin, Piorkowski, Christopher, Richter, Nadine, Schuster, Johannes, Scheinert, Dierk, Schmidt, Andrej, Staab, Holger, Ulrich, Matthias, Werner, Martin, Berger, Hermann, Biró, Gábor, Eckstein, Hans-Henning, Kallmayer, Michael, Kreiser, Kornelia, Zimmermann, Alexander, Berekoven, Bärbel, Frerker, Klaus, Gordon, Vera, Torsello, Giovanni, Arnold, Sebastian, Dienel, Cora, Storck, Martin, Biermaier, Bernhard, Gissler, Hans Martin, Klötzsch, Christof, Pfeiffer, Tomas, Schneider, Ralph, Söhl, Leander, Wennrich, Michael, Alonso, Angelika, Keese, Michael, Groden, Christoph, Cöster, Andreas, Engelhardt, Andreas, Ratusinski, Christoph-Maria, Berg, Bengt, Delle, Martin, Formgren, Johan, Gillgren, Peter, Jarl, Lotta, Kall, Torbjörn B, Konrad, Peter, Nyman, Niklas, Skiöldebrand, Claes, Steuer, Johnny, Takolander, Rabbe, Malmstedt, Jonas, Acosta, Stefan, Björses, Katarina, Brandt, Kerstin, Dias, Nuno, Gottsäter, Anders, Holst, Jan, Kristmundsson, Thorarinn, Kühme, Tobias, Kölbel, Tilo, Lindblad, Bengt, Lindh, Mats, Malina, Martin, Ohrlander, Tomas, Resch, Tim, Rönnle, Viola, Sonesson, Björn, Warvsten, Margareta, Zdanowski, Zbigniew, Campbell, Erik, Kjellin, Per, Lindgren, Hans, Nyberg, Johan, Petersen, Björn, Plate, Gunnar, Pärsson, Håkan, Qvarfordt, Peter, Ignatenko, Pavel, Karpenko, Andrey, Starodubtsev, Vladimir, Chernyavsky, Mikhail A, Golovkova, Maria S, Komakha, Boris B, Zherdev, Nikolay N, Belyasnik, Andrey, Chechulov, Pavel, Kandyba, Dmitry, Stepanishchev, Igor, Csobay-Novák, Csaba, Dósa, Edit, Entz, László, Nemes, Balázs, Szeberin, Zoltán, Barzó, Pál, Bodosi, Mihaly, Fákó, Eniko, Fülöp, Béla, Németh, Tamás, Pazdernyik, Szilárd, Skoba, Krisztina, Vörös, Erika, Chatzinikou, Eleni, Giannoukas, Athanasios, Karathanos, Christos, Koutsias, Stylianos, Kouvelos, Georgios, Matsagkas, Miltiadis, Ralli, Styliani, Rountas, Christos, Rousas, Nikolaos, Spanos, Konstantinos, Brountzos, Elias, Kakisis, John D, Lazaris, Andreas, Moulakakis, Konstantinos G, Stefanis, Leonidas, Tsivgoulis, Georgios, Vasdekis, Spyros, Antonopoulos, Constantine N, Bellenis, Ion, Maras, Dimitrios, Polydorou, Antonios, Polydorou, Victoria, Tavernarakis, Antonios, Ioannou, Nikolaos, Terzoudi, Maria, Lazarides, Miltos, Mantatzis, Michalis, Vadikolias, Kostas, Dzieciuchowicz, Lukasz, Gabriel, Marcin, Krasinski, Zbigniew, Oszkinis, Grzegorz, Pukacki, Fryderyk, Slowinski, Maciej, Stanišic, Michal-Goran, Staniszewski, Ryszard, Tomczak, Jolanta, Zielinski, Maciej, Myrcha, Piotr, Rózanski, Dorota, Drelichowski, Stanislaw, Iwanowski, Wojciech, Koncewicz, Katarzyna, Bialek, Pawel, Biejat, Zbigniew, Czepel, Wojciech, Czlonkowska, Anna, Dowzenko, Anatol, Jedrzejewska, Julia, Kobayashi, Adam, Leszczynski, Jerzy, Malek, Andrzej, Polanski, Jerzy, Proczka, Robert, Skorski, Maciej, Szostek, Mieczyslaw, Andziak, Piotr, Dratwicki, Maciej, Gil, Robert, Nowicki, Miroslaw, Pniewski, Jaroslaw, Rzezak, Jaroslaw, Seweryniak, Piotr, Dabek, Pawel, Juszynski, Michal, Madycki, Grzegorz, Pacewski, Bartosz, Raciborski, Witold, Slowinski, Piotr, Staszkiewicz, Walerian, Bombic, Martin, Chlouba, Vladimír, Fiedler, Jirí, Hes, Karel, Koštál, Petr, Sova, Jindrich, Kríž, Zdenek, Prívara, Mojmír, Reif, Michal, Staffa, Robert, Vlachovský, Robert, Vojtíšek, Bohuslav, Hrbác, Tomáš, Kuliha, Martin, Procházka, Václav, Roubec, Martin, Školoudík, David, Netuka, David, Šteklácová, Anna, Beneš III, Vladimír, Buchvald, Pavel, Endrych, Ladislav, Šercl, Miroslav, Campos Jr, Walter, Casella, Ivan B, de Luccia, Nelson, Estenssoro, André E V, Presti, Calógero, Puech-Leão, Pedro, Neves, Celso R B, da Silva, Erasmo S, Sitrângulo Jr, Cid J, Monteiro, José A T, Tinone, Gisela, Bellini Dalio, Marcelo, Joviliano, Edwaldo E, Pontes Neto, Octávio M, Serra Ribeiro, Mauricio, Cras, Patrick, Hendriks, Jeroen M H, Hoppenbrouwers, Mieke, Lauwers, Patrick, Loos, Caroline, Yperzeele, Laetitia, Geenens, Mia, Hemelsoet, Dimitri, van Herzeele, Isabelle, Vermassen, Frank, Astarci, Parla, Hammer, Frank, Lacroix, Valérie, Peeters, André, Verhelst, Robert, Cirelli, Silvana, Dormal, Pol, Grimonprez, Annelies, Lambrecht, Bart, Lerut, Philipe, Thues, Eddy, De Koster, Guy, Desiron, Quentin, Maertens de Noordhout, Alain, Malmendier, Danielle, Massoz, Mireille, Saad, Georges, Bosiers, Marc, Callaert, Joren, Deloose, Koen, Blanco Cañibano, Estrella, García Fresnillo, Beatriz, Guerra Requena, Mercedes, Morata Barrado, Pilar C, Muela Méndez, Miguel, Yusta Izquierdo, Antonio, Aparici Robles, Fernando, Blanes Orti, Paula, García Dominguez, Luis, Martínez López, Rafael, Miralles Hernández, Manuel, Tembl Ferrairo, José I, Chamorro, Ángel, Macho, Juan, Obach, Víctor, Riambau, Vincent, San Román, Luis, Ahlhelm, Frank J, Blackham, Kristine, Engelter, Stefan, Eugster, Thomas, Gensicke, Henrik, Gürke, Lorenz, Lyrer, Philippe, Mariani, Luigi, Maurer, Marina, Mujagic, Edin, Müller, Mandy, Psychogios, Marios, Stierli, Peter, Stippich, Christoph, Traenka, Christopher, Wolff, Thomas, Wagner, Benjamin, Wiegert, Martina M, Clarke, Sandra, Diepers, Michael, Gröchenig, Ernst, Gruber, Philipp, Isaak, Andrej, Kahles, Timo, Marti, Regula, Nedeltchev, Krassen, Remonda, Luca, Tissira, Nadir, Valença Falcão, Martina, de Borst, Gert J, Lo, Rob H, Moll, Frans L, Toorop, Raechel, van der Worp, Bart H, Vonken, Evert J, Kappelle, Jaap L, Jahrome, Ommid, Vos, Floris, Schuiling, Wouter, van Overhagen, Hendrik, Keunen, Rudolf W M, Knippenberg, Bob, Wever, Jan J, Lardenoije, Jan W, Reijnen, Michel, Smeets, Luuk, van Sterkenburg, Steven, Fraedrich, Gustav, Gizewski, Elke, Gruber, Ingrid, Knoflach, Michael, Kiechl, Stefan, Rantner, Barbara, Abdulamit, Timur, Bergeron, Patrice, Padovani, Raymond, Trastour, Jean-Christophe, Cardon, Jean-Marie, Le Gallou-Wittenberg, Anne, Allaire, Eric, Becquemin, Jean-Pierre, Cochennec-Paliwoda, Frédéric, Desgranges, Pascal, Hosseini, Hassan, Kobeiter, Hicham, Marzelle, Jean, Almekhlafi, Mohammed A, Bal, Simerpreet, Barber, Phillip A, Coutts, Shelagh B, Demchuk, Andrew M, Eesa, Muneer, Gillies, Michelle, Goyal, Mayank, Hill, Michael D, Hudon, Mark E, Jambula, Anitha, Kenney, Carol, Klein, Gary, McClelland, Marie, Mitha, Alim, Menon, Bijoy K, Morrish, William F, Peters, Steven, Ryckborst, Karla J, Samis, Greg, Save, Supriya, Smith, Eric E, Stys, Peter, Subramaniam, Suresh, Sutherland, Garnette R, Watson, Tim, Wong, John H, Zimmel, L, Flis, Vojko, Matela, Jože, Miksic, Kazimir, Milotic, Franko, Mrdja, Božidar, Stirn, Barbara, Tetickovic, Erih, Gasparini, Mladen, Grad, Anton, Kompara, Ingrid, Miloševic, Zoren, Palmiste, Veronika, Toomsoo, Toomas, Aidashova, Balzhan, Kospanov, Nursultan, Lyssenko, Roman, Mussagaliev, Daulet, Beyar, Rafi, Hoffman, Aaron, Karram, Tony, Kerner, Arthur, Nikolsky, Eugenia, Nitecki, Samy, Andonova, Silva, Bachvarov, Chavdar, Petrov, Vesko, Cvjetko, Ivan, Vidjak, Vinko, Halužan, Damir, Petrunic, Mladen, Liu, Bao, Liu, Chang-Wei, Bartko, Daniel, Beno, Peter, Rusnák, František, Zelenák, Kamil, Ezura, Masayuki, Inoue, Takashi, Kimura, Naoto, Kondo, Ryushi, Matsumoto, Yasushi, Shimizu, Hiroaki, Endo, Hidenori, Furui, Eisuke, Bakke, Søren, Krohg-Sørensen, Kristen, Nome, Terje, Skjelland, Mona, Tennøe, Bjørn, Albuquerque e Castro, João, Alves, Gonçalo, Bastos Gonçalves, Frederico, de Aragão Morais, José, Garcia, Ana C, Valentim, Hugo, Vasconcelos, Leonor, Belcastro, Fernando, Cura, Fernando, Zaefferer, Patricio, Abd-Allah, Foad, Eldessoki, Mohamed H, Heshmat Kassem, Hussein, Soliman Gharieb, Haytham, Colgan, Mary P, Haider, Syed N, Harbison, Joe, Madhavan, Prakash, Moore, Dermot, Shanik, Gregor, Kazan, Viviane, Nazzal, Munier, and Ramsey-Williams, Vicki

Published
2021
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34. Cross-Layer Design

Author

Subramaniam, Suresh, Kondepu, Koteswararao, Marotta, Andrea, Mukherjee, Biswanath, editor, Tomkos, Ioannis, editor, Tornatore, Massimo, editor, Winzer, Peter, editor, and Zhao, Yongli, editor

Published
2020
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35. UAVFog-Assisted Data-Driven Disaster Response: Architecture, Use Case, and Challenges

Author

Wei, Xianglin, Li, Li, Tang, Chaogang, Subramaniam, Suresh, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, Zhisheng, editor, Beek, Wouter, editor, Wang, Hua, editor, Zhou, Rui, editor, and Zhang, Yanchun, editor

Published
2020
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36. Embedding Virtual Networks in Flexible Optical Networks with Sliceable Transponders

Author

Zhao, Juzi, Subramaniam, Suresh, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tzanakaki, Anna, editor, Varvarigos, Manos, editor, Muñoz, Raul, editor, Nejabati, Reza, editor, Yoshikane, Noboru, editor, Anastasopoulos, Markos, editor, and Marquez-Barja, Johann, editor

Published
2020
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37. RHODA Topology Configuration Using Bayesian Optimization

Author

Xu, Maotong, Tian, Min, Modiano, Eytan, Subramaniam, Suresh, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tzanakaki, Anna, editor, Varvarigos, Manos, editor, Muñoz, Raul, editor, Nejabati, Reza, editor, Yoshikane, Noboru, editor, Anastasopoulos, Markos, editor, and Marquez-Barja, Johann, editor

Published
2020
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38. Novel P-Cycle Selection Algorithms for Elastic Optical Networks

Author

Zou, Rujia, Subramaniam, Suresh, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tzanakaki, Anna, editor, Varvarigos, Manos, editor, Muñoz, Raul, editor, Nejabati, Reza, editor, Yoshikane, Noboru, editor, Anastasopoulos, Markos, editor, and Marquez-Barja, Johann, editor

Published
2020
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40. Tenecteplase versus standard of care for minor ischaemic stroke with proven occlusion (TEMPO-2): a randomised, open label, phase 3 superiority trial

Author

Coutts, Shelagh B, Ankolekar, Sandeep, Appireddy, Ramana, Arenillas, Juan F, Assis, Zarina, Bailey, Peter, Barber, Philip A, Bazan, Rodrigo, Buck, Brian H, Butcher, Ken S, Camden, Marie-Christine, Campbell, Bruce C V, Casaubon, Leanne K, Catanese, Luciana, Chatterjee, Kausik, Choi, Philip M C, Clarke, Brian, Dowlatshahi, Dar, Ferrari, Julia, Field, Thalia S, Ganesh, Aravind, Ghia, Darshan, Goyal, Mayank, Greisenegger, Stefan, Halse, Omid, Horn, Mackenzie, Hunter, Gary, Imoukhuede, Oje, Kelly, Peter J, Kennedy, James, Kenney, Carol, Kleinig, Timothy J, Krishnan, Kailash, Lima, Fabricio, Mandzia, Jennifer L, Marko, Martha, Martins, Sheila O, Medvedev, George, Menon, Bijoy K, Mishra, Sachin M, Molina, Carlos, Moussaddy, Aimen, Muir, Keith W, Parsons, Mark W, Penn, Andrew M W, Pille, Arthur, Pontes-Neto, Octávio M, Roffe, Christine, Serena, Joaquin, Simister, Robert, Singh, Nishita, Spratt, Neil, Strbian, Daniel, Tham, Carol H, Wiggam, M Ivan, Williams, David J, Willmot, Mark R, Wu, Teddy, Yu, Amy Y X, Zachariah, George, Zafar, Atif, Zerna, Charlotte, Hill, Michael D, Salluzzi, Marina, Blenkin, Nicole, Dueck, Ashley, Doram, Craig, Zhang, Qiao, Kenney, Carol, Ryckborst, Karla, Bohn, Shelly, Collier, Quentin, Taylor, Frances, Lethebe, B. Cord, Jambula, Anitha, Sage, Kayla, Toussaint, Lana, Save, Supryia, Lee, Jaclyn, Laham, N, Sultan, A.A., Deepak, A., Sitaram, A., Demchuk, Andrew M., Lockey, A., Micielli, A., Wadhwa, A., Arabambi, B., Graham, B., Bogiatzi, Chrysi, Doshi, Darshan, Chakraborty, D., Kim, Diana, Vasquez, D, Singh, D, Tse, Dominic, Harrison, E., Smith, E.E., Teleg, E., Klourfeld, E., Klein, G., Sebastian, I.A., Evans, J, Hegedus, J, Kromm, J, Lin, K, Ignacio, K, Ghavami, Kimia, Ismail, M., Moores, M., Panzini, M.A., Boyko, M., Almekhlafi, M.A., Newcommon, Nancy, Maraj, N., Imoukhuede, O., Volny, O., Stys, Peter, Couillard, Phillipe, Ojha, P., Eswaradass, P., Joundi, Raed, Singh, R., Asuncion, R.M., Muir, R.T., Dey, S., Mansoor, S., Wasyliw, S., Nagendra, S., Hu, Sherry, Althubait, S., Chen, S., Bal, S., Van Gaal, Stephen, Peters, Steven, Ray, Sucharita, Chaturvedi, S., Subramaniam, Suresh, Fu, Vivian, Villaluna, K., Maclean, G., King-Azote, P., Ma, C., Plecash, A., Murphy, C., Gorman, J., Wilson, L., Zhou, L., Benevente, O., Teal, P., Yip, S., Mann, S., Dewar, B., Demetroff, M., Shamloul, R., Beardshaw, R., Roberts, S., Blaquiere, D., Stotts, G., Shamy, M., Bereznyakova, O., Fahed, R., Alesefir, W., Lavoie, Suzy, Hache, A., Collard, K, Mackey, A., Gosselin-Lefebvre, S., Verreault, S., Beauchamp, B., Lambourn, L., Khaw, A., Mai, L., Sposato, L., Bres Bullrich, M., Azarpazhooh, R., Fridman, S., Kapoor, A., Southwell, A., Bardi, E., Fatakdawala, I., Kamra, M, Lopes, K., Popel, N., Norouzi, V., Liu, A., Liddy, A.M., Ghoari, B., Hawkes, C., Enriquez, C.A., Gladstone, D.J., Manosalva Alzate, H.A., Khosravani, H., Hopyan, J.J., Sivakumar, K., Son, M., Boulos, M.I., Hamind, M.A., Swartz, R.H., Murphy, R., Reiter, S., Fitzpatrick, T., Bhandari, V., Good, J., Penn, M., Naylor, M., Frost, S., Cayley, A., Akthar, F., Williams, J., Kalman, L., Crellin, L., Wiegner, R., Singh, R.S., Stewart, T., To, W., Singh, S., Pikula, A., Jaigobin, C., Carpani, F., Silver, F., Janssen, H., Schaafsma, J., del Campo, M., Alskaini, M., Rajendram, P., Fairall, P., Granfield, B., Crawford, D., Jabs, J., White, L., Sivakumar, L., Piquette, L., Nguyen, T., Nomani, A., Wagner, A., Alrohimi, A., Butt, A., D'Souza, A., Gajurel, B., Vekhande, C., Kamble, H., Kalashyan, H., Lloret, M., Benguzzi, M., Arsalan, N., Ishaque, N., Ashayeriahmadabad, R., Samiento, R., Hosseini, S., Kazi, S., Das, S., Sugumar, T., Selchen, D., Kostyrko, P., Muccilli, A., Saposnik, A.G., Vandervelde, C., Ratnayake, K., McMillan, S., Katsanos, A., Shoamanesh, A., Sahlas, D.J., Naidoo, V., Todorov, V., Toma, H., Brar, J., Lee, J., Horton, M., Chen, S., Shand, E., Weatherby, S., Jin, A., Durafourt, B., Jalini, S., Gardner, A., Tyson, C., Junk, E., Foster, K., Bolt, K., Sylvain, N., Maley, S., Urroz, L., Peeling, L., Kelly, M., Whelan, R., Cooley, R., Teitelbaum, J., Boutayeb, A., Moore, A., Cole, E., Waxman, L., Ben-Amor, N., Sanchez, R., Khalil, S., Nehme, A., Legault, C., Tampieri, D., Ehrensperger, E., Vieira, L., Cortes, M., 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Abstract

Individuals with minor ischaemic stroke and intracranial occlusion are at increased risk of poor outcomes. Intravenous thrombolysis with tenecteplase might improve outcomes in this population. We aimed to test the superiority of intravenous tenecteplase over non-thrombolytic standard of care in patients with minor ischaemic stroke and intracranial occlusion or focal perfusion abnormality.

Published
2024
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41. Impact of Wavelength and Modulation Conversion on Transluscent Elastic Optical Networks Using MILP

Author

Wang, Xu, Brandt-Pearce, Maite, and Subramaniam, Suresh

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Compared to legacy wavelength division multiplexing networks, elastic optical networks (EON) have added flexibility to network deployment and management. EONs can include previously available technology, such as signal regeneration and wavelength conversion, as well as new features such as finer-granularity spectrum assignment and modulation conversion. Yet each added feature adds to the cost of the network. In order to quantify the potential benefit of each technology, we present a link-based mixed-integer linear programming (MILP) formulation to solve the optimal resource allocation problem. We then propose a recursive model in order to either augment existing network deployments or speed up the resource allocation computation time for larger networks with higher traffic demand requirements than can be solved using an MILP. We show through simulation that systems equipped with signal regenerators or wavelength converters require a notably smaller total bandwidth, depending on the topology of the network. We also show that the suboptimal recursive solution speeds up the calculation and makes the running-time more predictable, compared to the optimal MILP.

Published
2014

43. Optics

Author

Kilper, Dan, primary, Wey, Jun Shan, additional, Hausken, Tom, additional, Nirmalathas, Ampalavanapillai, additional, Vaez-Ghaemi, Reza, additional, Chung, HwanSeok, additional, Ramchandran, Prakash, additional, Jungnickel, Volker, additional, Yuksel, Murat, additional, Ten, Surgey, additional, Dutta, Rudra, additional, Monti, Paolo, additional, Wosinska, Lena, additional, Andrekson, Peter, additional, Subramaniam, Suresh, additional, Dutta, Ahsutosh, additional, Murthy, KRS, additional, Zhu, Zuqing, additional, Ranaweera, Chathurika, additional, Kloza, Brad, additional, Borst, Matthew, additional, Çukurtepe, Haydar, additional, and Gu, Rentao, additional

Published
2023
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46. SCRUB TYPHUS PRESENTING AS ACUTE PANCREATITIS: A RARE CASE

Author

Amsa Palanikumar Goutham Kumar, Subramaniam Suresh Kanna, and Dinesh Babu

Subjects
scrub typhus, orientia tsutsugamushi, thrombocytopenia, acute pancreatitis, acute respiratory distress syndrome, myocarditis, hepatitis, meningoencephalitis, fever, india., Medicine
Abstract

Scrub typhus is an insect-borne disease caused by Orientia sutsugamushi which may cause disseminated vasculitis and perivascular inflammatory lesions resulting in significant vascular leakage and cause end organ damage. Scrub typhus can lead to severe complications such as acute respiratory distress syndrome (ARDS), myocarditis, hepatitis and meningoencephalitis. Some unusual presentations of scrub typhus are peritonitis, gastric ulceration, duodenal ulcer perforation and acalculous cholecystitis. But acute pancreatitis is a relatively rare complication of scrub typhus. Here we report a rare case of scrub typhus in the form of acute pancreatitis.

Published
2022
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