Adaptive computation scaling and task offloading in mobile edge computing

Thinh Quang Dinh, Jianhua Tang, Quang Duy La, Tony Q.S. Quek

研究成果: Conference contribution

16 引文 斯高帕斯(Scopus)

摘要

The energy consumption and applications' execution latency of mobile devices (MDs) can be improved by migrating application tasks to a nearby edge device. In this paper, we propose an optimization framework to investigate the scenario when a MD can offload tasks to multiple access points (APs) and scale its central process unit (CPU) frequency. Firstly, the optimal solution is derived from an exhaustive search based approach; and then a semidefinite relaxation (SDR) based approach is proposed to efficiently solve the problem. The obtained results from our simulation indicate that the SDR-based algorithm is able to achieve close-to-optimal performance. We also show that our proposed scheme can reduce the MD's energy consumption and tasks' execution latency, by taking advantage of having multiple APs and flexible CPU frequency.

原文English
主出版物標題2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781509041831
DOIs
出版狀態Published - 2017 五月 10
事件2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
持續時間: 2017 三月 192017 三月 22

出版系列

名字IEEE Wireless Communications and Networking Conference, WCNC
ISSN(列印)1525-3511

Other

Other2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
國家United States
城市San Francisco
期間17-03-1917-03-22

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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