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