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Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II

Research Article

Performance Analysis of Video-Flow in Mobile Edge Computing Networks Based on Stochastic Network Calculus

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  • @INPROCEEDINGS{10.1007/978-3-030-69072-4_49,
        author={Jindou Shi and Xiaorong Zhu},
        title={Performance Analysis of Video-Flow in Mobile Edge Computing Networks Based on Stochastic Network Calculus},
        proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II},
        proceedings_a={WISATS PART 2},
        year={2021},
        month={2},
        keywords={Delay Mobile edge computing Random routing Stochastic network calculus},
        doi={10.1007/978-3-030-69072-4_49}
    }
    
  • Jindou Shi
    Xiaorong Zhu
    Year: 2021
    Performance Analysis of Video-Flow in Mobile Edge Computing Networks Based on Stochastic Network Calculus
    WISATS PART 2
    Springer
    DOI: 10.1007/978-3-030-69072-4_49
Jindou Shi1,*, Xiaorong Zhu1
  • 1: College of Telecommunications and Information Engineering
*Contact email: 1018010222@njupt.edu.cn

Abstract

Mobile edge computing (MEC) networks can provide a variety of services for different applications. End-to-end performance analysis of these services serves as a benchmark for the efficient planning of network resource allocation and routing strategies. In this paper, we propose a performance analysis framework for the end-to-end data-flow in MEC networks based on stochastic network calculus (SNC). Due to the random nature of routing in the MEC networks, we introduce a probability parameter set in our proposed analysis model to characterize this randomness into our derived expressions. Taking actual communication scenarios into consideration, we analyze the end-to-end performance of video with the interference with voice over internet protocol (VoIP) and file transfer protocol (FTP). For scheduling of these network data-flows, we consider the preemptive priority scheduling scheme. Based on the arrival processes of the video-flow, the effect of interference on its performances and the service capacity of each node in the MEC network, we derive closed-form expression for showing the relationship between delay upper bound and violation probability of the video-flow. Simulation and analytical results show that delay performances of the video-flow is influenced by the number of hops in the network and the random probability parameters of interference-flow.

Keywords
Delay Mobile edge computing Random routing Stochastic network calculus
Published
2021-02-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-69072-4_49
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