Joint optimization offloading strategy of execution time and energy consumption of mobile edge computing
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 18, Issue 5 (30 Sep. 2021), pp.711-718, 8 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2021-09-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
As mobile devices become more and more powerful, applications generate a large number of computing tasks, and mobile devices themselves cannot meet the needs of users.
This article proposes a computation offloading model in which execution units including mobile devices, edge server, and cloud server.
Previous studies on joint optimization only considered tasks execution time and the energy consumption of mobile devices, and ignored the energy consumption of edge and cloud server.
However, edge server and cloud server energy consumption have a significant impact on the final offloading decision.
This paper comprehensively considers execution time and energy consumption of three execution units, and formulates task offloading decision as a single-objective optimization problem.
Genetic algorithm with elitism preservation and random strategy is adopted to obtain optimal solution of the problem.
At last, simulation experiments show that the proposed computation offloading model has lower fitness value compared with other computation offloading models.
American Psychological Association (APA)
Wang, Qingzhu& Cui, Xiaoyun. 2021. Joint optimization offloading strategy of execution time and energy consumption of mobile edge computing. The International Arab Journal of Information Technology،Vol. 18, no. 5, pp.711-718.
https://search.emarefa.net/detail/BIM-1431119
Modern Language Association (MLA)
Wang, Qingzhu& Cui, Xiaoyun. Joint optimization offloading strategy of execution time and energy consumption of mobile edge computing. The International Arab Journal of Information Technology Vol. 18, no. 5 (Sep. 2021), pp.711-718.
https://search.emarefa.net/detail/BIM-1431119
American Medical Association (AMA)
Wang, Qingzhu& Cui, Xiaoyun. Joint optimization offloading strategy of execution time and energy consumption of mobile edge computing. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 5, pp.711-718.
https://search.emarefa.net/detail/BIM-1431119
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in .
Record ID
BIM-1431119