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Your search keyword '"Ning, Zhaolong"' showing total 2 results
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2 results on '"Ning, Zhaolong"'

1. Distributed and Dynamic Service Placement in Pervasive Edge Computing Networks.

Author

Ning, Zhaolong, Dong, Peiran, Wang, Xiaojie, Wang, Shupeng, Hu, Xiping, Guo, Song, Qiu, Tie, Hu, Bin, and Kwok, Ricky Y. K.

Subjects
*EDGE computing, *QUEUING theory, *APPROXIMATION algorithms, *EXPECTED utility, *MOBILE apps, *HEURISTIC algorithms
Abstract

The explosive growth of mobile devices promotes the prosperity of novel mobile applications, which can be realized by service offloading with the assistance of edge computing servers. However, due to limited computation and storage capabilities of a single server, long service latency hinders the continuous development of service offloading in mobile networks. By supporting multi-server cooperation, Pervasive Edge Computing (PEC) is promising to enable service migration in highly dynamic mobile networks. With the objective of maximizing the system utility, we formulate the optimization problem by jointly considering the constraints of server storage capability and service execution latency. To enable dynamic service placement, we first utilize Lyapunov optimization method to decompose the long-term optimization problem into a series of instant optimization problems. Then, a sample average approximation-based stochastic algorithm is proposed to approximate the future expected system utility. Afterwards, a distributed Markov approximation algorithm is utilized to determine the service placement configurations. Through theoretical analysis, the time complexity of our proposed algorithm is linear to the number of users, and the backlog queue of PEC servers is stable. Performance evaluations are conducted based on both synthetic and real trace-driven scenarios, with numerical results demonstrating the effectiveness of our proposed algorithm from various aspects. [ABSTRACT FROM AUTHOR]

Published
2021
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2. A collective filtering based content transmission scheme in edge of vehicles.

Author

Wang, Xiaojie, Feng, Yufan, Ning, Zhaolong, Hu, Xiping, Kong, Xiangjie, Hu, Bin, and Guo, Yi

Subjects
*MARKOV processes, *INTERNET, *SOCIAL interaction, *MOBILE apps, *VEHICLES
Abstract

With the emergence of the ever-increasing vehicular applications and booming Internet services, the requirements of low-latency and high efficient transmission among vehicles become urgent to meet, and their corresponding solutions need to be well investigated. To resolve the above challenges, we propose a fog computing-based content transmission scheme with collective filtering in edge of vehicles. We first provide a system model based on fog-based rode side units by considering location-awareness, content-caching and decentralized computing. Then, a content-caching strategy in RSUs is designed to minimize the downloading latency. Specifically, we model the moving vehicles with the two-dimensional Markov chains, and calculate the probabilities of file caching in RSUs to minimize the latency in file downloading. Each vehicle can also maintain a neighbor list to record the encounters with high similarities, and update it based on the historic and real-time contacts. Finally, we carry on the experiments based on the real-world taxi trajectories in Beijing and Shanghai, China. Simulation results demonstrate the effectiveness of our proposed method. [ABSTRACT FROM AUTHOR]

Published
2020
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