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.


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    Titel :

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


    Weitere Titelangaben:

    Lect.Notes Social.Inform.


    Beteiligte:
    Wu, Qihui (Herausgeber:in) / Zhao, Kanglian (Herausgeber:in) / Ding, Xiaojin (Herausgeber:in) / Shi, Jindou (Autor:in) / Zhu, Xiaorong (Autor:in)

    Kongress:

    International Conference on Wireless and Satellite Systems ; 2020 ; Nanjing, China September 17, 2020 - September 18, 2020



    Erscheinungsdatum :

    28.02.2021


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch