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2018 | OriginalPaper | Chapter

Real-Time CPU Scheduling Approach for Mobile Edge Computing System

Authors : Xiaoyi Yu, Ke Wang, Wenliang Lin, Zhongliang Deng

Published in: Smart Grid and Innovative Frontiers in Telecommunications

Publisher: Springer International Publishing

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Abstract

Mobile edge computing (MEC) system has outstanding advantages of providing smart city applications with relatively low latency and immediately response. How to guarantee the QoS of the services in MEC system is consequently becoming a hot issue. This work focuses on solving the problem by real-time CPU scheduling. The proposed scheduling algorithm considers different services arrival profiles, computation time consumption and deadline requirements simultaneously. Specifically, the combination and optimization of support vector machine (SVM) and earliest deadline first (EDF) algorithm is designed, which could automatically classify services type and efficiently allocate the computation time in real-time manner. By deploying the traffic trace from the real world, the proposed scheduling algorithm could reduce \(45\mathrm{{\% }}\) latency and improve the reliability of transmission, comparing with popular fixed-priority CPU scheduling algorithm.

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Metadata
Title
Real-Time CPU Scheduling Approach for Mobile Edge Computing System
Authors
Xiaoyi Yu
Ke Wang
Wenliang Lin
Zhongliang Deng
Copyright Year
2018
Book
Smart Grid and Innovative Frontiers in Telecommunications

Print ISBN: 978-3-319-94964-2

Electronic ISBN: 978-3-319-94965-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-94965-9_4

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