期刊
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
卷 85, 期 -, 页码 1-8出版社
ELSEVIER
DOI: 10.1016/j.future.2018.02.014
关键词
Mobile Edge Computing; Task assignment; User mobility; Offloading
资金
- National Natural Science Foundation of China [61602095]
- National Key Research and Development Program of China [2017YFB1400102]
- Fundamental Research Funds for the Central Universities, China [ZYGX2016KYQD098, ZYGX2016J079]
- Quancomm Research Fund (Tsinghua), China
- National Postdoctoral Program for Innovative Talents of China
- EU FP7 CLIMBER, UK project [PIRSES-GA-2012-318939]
- EPSRC [EP/R00692X/1] Funding Source: UKRI
Mobile Edge Computing (MEC) has emerged as a prospective computing paradigm to provide pervasive computing and storage services for mobile and big data applications. In MEC, many small cell base stations (sBSs) are deployed to establish a mobile edge network (MEN). These sBSs can be usually accessed directly by mobile users. The computational tasks are first offloaded from mobile users to the MEN and then executed in one or several specific sBSs in the MEN. While the offloading decision has been well studied, the task execution delay on the MEN side is overlooked. This paper aims at reducing the task execution delay by task scheduling in MENs. Specifically, we jointly consider the task properties, the user mobility and network constraints. The problem is formalized as a constraint satisfaction problem and a lightweight heuristic solution is proposed for fast scheduling. We conduct simulation experiments to study the performance of the proposed work. The results show that our work is able to significantly reduce the task execution delay in MENs and thus reduces the end-to-end delay for MEC tasks. (C) 2018 Elsevier B.V. All rights reserved.
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