Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/82190
| Title: | Dynamic computation offloading based on graph partitioning in mobile edge computing | Authors: | Li, GS Lin, QY Wu, JH Zhang, Y Yan, JH |
Issue Date: | 2019 | Source: | IEEE access, 19 Dec. 2019, v. 7, p. 185131-185139 | Abstract: | Mobile edge computing is a new cloud computing paradigm that utilizes small-sized edge clouds to provide real-time services to users. These mobile edge clouds (MECs) are located near users, thereby enabling users to seamlessly access applications that are running on MECs and to easily access MECs. Terminal devices can transfer tasks to MEC servers nearby to improve the quality of computing. In this paper, we study multi-user computation offloading problem for mobile-edge computing in a multichannel wireless interference environment. Then, we analyze the overhead of each mobile devices, and we propose strategies for task scheduling and offloading in a multi-user MEC system. For reducing the energy consumption, we propose a server partitioning algorithm that is based on clustering. We formulate the task offloading decision problem as a multi-user game, which always has a Nash equilibrium. The simulation results demonstrate that our scheme outperforms the traditional offloading strategy in terms of energy consumption. | Keywords: | Mobile edge computing Offloading decision Node clustering Optimal strategy Nash equilibrium |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE access | EISSN: | 2169-3536 | DOI: | 10.1109/ACCESS.2019.2960887 | Rights: | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/ The following publication G. Li, Q. Lin, J. Wu, Y. Zhang and J. Yan, "Dynamic Computation Offloading Based on Graph Partitioning in Mobile Edge Computing," in IEEE Access, vol. 7, pp. 185131-185139, 2019 is available at https://dx.doi.org/10.1109/ACCESS.2019.2960887 |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Li_Computation_Offloading_Graph.pdf | 5.11 MB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
38
Last Week
1
1
Last month
Citations as of Jun 4, 2023
Downloads
47
Citations as of Jun 4, 2023
SCOPUSTM
Citations
11
Citations as of Jun 8, 2023
WEB OF SCIENCETM
Citations
8
Citations as of Jun 8, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.