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38 results on '"Gupta, Indrajeet"'

1. From Sea to Table: A Blockchain-Enabled Framework for Transparent and Sustainable Seafood Supply Chains

Author

Rani, Pritam, Sharma, Pratima, Gupta, Indrajeet, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Nanda, Umakanta, editor, Tripathy, Asis Kumar, editor, Sahoo, Jyoti Prakash, editor, Sarkar, Mahasweta, editor, and Li, Kuan-Ching, editor

Published
2024
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3. Radiotherapy in cervical cancer

Author

Srivastava, Shraddha, primary, Singh Moirangthem, Nara, additional, Ghosh, Arunima, additional, Gupta, Indrajeet, additional, and Lal Brahma Bhatt, Madan, additional

Published
2023
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9. A Machine Learning-Based Approach for Efficient Cloud Service Selection

Author

Gandhi, Uttam, Bothera, Abhi, Garg, Neha, Neeraj, Gupta, Indrajeet, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Jagannathan, Sarangapani, editor, Gupta, Ankur, editor, Garg, Lalit, editor, and Gupta, Suneet, editor

Published
2022
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12. A Hybrid Meta-heuristic Approach for Load Balanced Workflow Scheduling in IaaS Cloud

Author

Gupta, Indrajeet, Gupta, Shivangi, Choudhary, Anubhav, Jana, Prasanta K., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Fahrnberger, Günter, editor, Gopinathan, Sapna, editor, and Parida, Laxmi, editor

Published
2019
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13. Duplication Based Budget Effective Workflow Scheduling for Cloud Computing

Author

Kumar, Madhu Sudan, Gupta, Indrajeet, Jana, Prasanta K., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Fahrnberger, Günter, editor, Gopinathan, Sapna, editor, and Parida, Laxmi, editor

Published
2019
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15. A Flower Pollination Algorithm Based Task Scheduling in Cloud Computing

Author

Gupta, Indrajeet, Kaswan, Amar, Jana, Prasanta K., Barbosa, Simone Diniz Junqueira, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Mandal, J. K., editor, Dutta, Paramartha, editor, and Mukhopadhyay, Somnath, editor

Published
2017
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23. CloudConsumerism: A Consumer-Centric Ranking Model for Efficient Service Mapping in Cloud.

Author

Neeraj, Garg, Neha, Navadia, Nipun R., Lakhanpal, Anupam, Gupta, Indrajeet, Ibrahim, Wubshet, and Raj, Manish

Subjects
TOPSIS method, CLOUD computing, CUSTOMER services, MULTIPLE criteria decision making, BUSINESS models
Abstract

In cloud, service providers and consumers are primary stakeholders that maintain a business liaison. Cloud service providers (CSPs) offer the services, and consumer uses the services on a payment basis. From a business perspective, the selection of a service based on mutual evaluation benefits both the CSPs and consumers. This paper presents an efficient CloudConsumerism model where the multicriteria decision-making method (MCDM) method, TOPSIS, is used for evaluating the performance of CSPs and consumers. For performance evaluation of CSPs, the performance attributes defined by Cloud Service Measurement Initiative Consortium (CSMIC) are exploited. For evaluating the consumers, this paper is the first approach towards identifying the behavioral attributes for evaluating the cloud consumers analogous to the business models. A service mapping algorithm is proposed for efficient (less overhead and higher robustness) mapping. Extensive simulation experiments are conducted; the results show that the proposed framework can be used for the online cloud-based platform due to limited overhead and high robustness. [ABSTRACT FROM AUTHOR]

Published
2022
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24. Energy-Efficient Scientific Workflow Scheduling Algorithm in Cloud Environment.

Author

Garg, Neha, Neeraj, Raj, Manish, Gupta, Indrajeet, Kumar, Vinay, and Sinha, G. R.

Subjects
WORKFLOW management systems, VIRTUAL machine systems, WORKFLOW, ALGORITHMS, SCHEDULING, JOB qualifications
Abstract

Scheduling extensive scientific applications that are deadline-aware (usually referred to as workflow) is a difficult task. This research provides a virtual machine (VM) placement and scheduling approach for effectively scheduling process tasks in the cloud environment while maintaining dependency and deadline constraints. The suggested model's aim is to reduce the application's energy consumption and total execution time while taking into account dependency and deadline limitations. To select the VM for the tasks and dynamically deploy/undeploy the VM on the hosts based on the jobs' requirements, an energy-efficient VM placement (EVMP) algorithm is presented. Demonstrate that the proposed approach outperforms the existing PESVMC (power-efficient scheduling and VM consolidation) algorithm. [ABSTRACT FROM AUTHOR]

Published
2022
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