A New Approach on Task Offloading Scheduling for Application of Mobile Edge Computing

被引：7
|
作者：
Cui, Yuya [1 ,2 ]
Zhang, Degan [1 ,2 ]
Zhang, Ting [1 ,2 ]
Yang, Peng [1 ,2 ]
Zhu, Haoli [1 ,2 ]
机构：
[1] Tianjin Univ Technol, Tianjin Key Lab Intelligent Comp & Novel Software, Tianjin 300384, Peoples R China
[2] Tianjin Univ Technol, Key Lab Comp Vis & Syst, Minist Educ, Tianjin 300384, Peoples R China
来源：
2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2021年
基金：
中国国家自然科学基金;
关键词：
mobile edge computing; computing offloading; CMOP; fine-grained task offloading scheduling; NSGA-II; parallel computing; ALGORITHM; NETWORKS; INTERNET;
D O I：
10.1109/WCNC49053.2021.9417286
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In mobile edge computing(MEC), application partitioning can split the executions into local and edge server parts. Optimal partitioning will allow mobile devices to obtain the highest benefit from Mobile Edge Computing (MEC). In this paper, a new approach on task offloading scheduling for application of mobile edge computing is proposed. We divide the computing task into several subtasks. Then, we analyze the overhead of the system, and propose a fine-grained strategy for task scheduling and offloading in a multi-user MEC system. For reducing the energy consumption and delay, the computation offloading is considered as a constrained multi-objective optimization problem (CMOP), which can be solved by an improved NSGA-II algorithm. The experimental results show that the proposed algorithm can find a large number of optimal solutions to adjust the corresponding offlfloading decision according to the real-world situation.
引用
收藏
页数：6
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