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.
Performance Analysis of Video-Flow in Mobile Edge Computing Networks Based on Stochastic Network Calculus
Lect.Notes Social.Inform.
International Conference on Wireless and Satellite Systems ; 2020 ; Nanjing, China September 17, 2020 - September 18, 2020
2021-02-28
12 pages
Article/Chapter (Book)
Electronic Resource
English
DISTRIBUTED CONSENSUS NETWORKS MIT MOBILE EDGE COMPUTING UNTERSTÜTZUNG
European Patent Office | 2018
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