Security and Cost-Aware Computation Offloading via Deep Reinforcement Learning in Mobile Edge Computing
Joint Authors
Wang, Shangguang
Hu, Haiyang
Li, Yangyang
Huang, Binbin
Li, Zhongjin
Pan, Linxuan
Xu, Yunqiu
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-23
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Information Technology and Computer Science
Abstract EN
With the explosive growth of mobile applications, mobile devices need to be equipped with abundant resources to process massive and complex mobile applications.
However, mobile devices are usually resource-constrained due to their physical size.
Fortunately, mobile edge computing, which enables mobile devices to offload computation tasks to edge servers with abundant computing resources, can significantly meet the ever-increasing computation demands from mobile applications.
Nevertheless, offloading tasks to the edge servers are liable to suffer from external security threats (e.g., snooping and alteration).
Aiming at this problem, we propose a security and cost-aware computation offloading (SCACO) strategy for mobile users in mobile edge computing environment, the goal of which is to minimize the overall cost (including mobile device’s energy consumption, processing delay, and task loss probability) under the risk probability constraints.
Specifically, we first formulate the computation offloading problem as a Markov decision process (MDP).
Then, based on the popular deep reinforcement learning approach, deep Q-network (DQN), the optimal offloading policy for the proposed problem is derived.
Finally, extensive experimental results demonstrate that SCACO can achieve the security and cost efficiency for the mobile user in the mobile edge computing environment.
American Psychological Association (APA)
Huang, Binbin& Li, Yangyang& Li, Zhongjin& Pan, Linxuan& Wang, Shangguang& Xu, Yunqiu…[et al.]. 2019. Security and Cost-Aware Computation Offloading via Deep Reinforcement Learning in Mobile Edge Computing. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-20.
https://search.emarefa.net/detail/BIM-1212100
Modern Language Association (MLA)
Huang, Binbin…[et al.]. Security and Cost-Aware Computation Offloading via Deep Reinforcement Learning in Mobile Edge Computing. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-20.
https://search.emarefa.net/detail/BIM-1212100
American Medical Association (AMA)
Huang, Binbin& Li, Yangyang& Li, Zhongjin& Pan, Linxuan& Wang, Shangguang& Xu, Yunqiu…[et al.]. Security and Cost-Aware Computation Offloading via Deep Reinforcement Learning in Mobile Edge Computing. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-20.
https://search.emarefa.net/detail/BIM-1212100
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212100