The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
A Game-Theoretical Approach for User Allocation in Edge Computing Environment
Open accessAbstract
Edge Computing provides mobile and Internet-of-Things (IoT) app vendors with a new distributed computing paradigm which allows an app vendor to deploy its app at hired edge servers distributed near app users at the edge of the cloud. This way, app users can be allocated to hired edge servers nearby to minimize network latency and energy consumption. A cost-effective edge user allocation (EUA) requires maximum app users to be served with minimum overall system cost. Finding a centralized optimal solution to this EUA problem is NP-hard. Thus, we propose EUAGame, a game-theoretic approach that formulates the EUA problem as a potential game. We analyze the game and show that it admits a Nash equilibrium. Then, we design a novel decentralized algorithm for finding a Nash equilibrium in the game as a solution to the EUA problem. The performance of this algorithm is theoretically analyzed and experimentally evaluated. The results show that the EUA problem can be solved effectively and efficiently.
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Cites
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Edge computing: Vision and challenges
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Self-citationFog computing and its role in the internet of things
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Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading
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Joint Offloading and Computing Optimization in Wireless Powered Mobile-Edge Computing Systems
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Decentralized Computation Offloading Game for Mobile Cloud Computing
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Blockchain Intelligence for Internet of Vehicles: Challenges and Solutions
Wang, X., Zhu, H., Ning, Z., Guo, L., & Zhang, Y. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3305312 · Cited by 131
Chen, P., Liu, H., Xin, R., Carval, T., Zhao, J., Xia, Y., & Zhao, Z. (2022) · The Computer Journal · doi:10.1093/comjnl/bxac085 · Cited by 128
Distributed resource scheduling in edge computing: Problems, solutions, and opportunities
Sahni, Y., Cao, J., Yang, L., & Wang, S. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.109430 · Cited by 38
Yuan, L., He, Q., Tan, S., Li, B., Yu, J., Chen, F., & Yang, Y. (2023) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2022.3231296 · Cited by 33
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Metadata
- Authors
- He, Q., Cui, G., Zhang, X., Chen, F., Deng, S., Jin, H., Li, Y., & Yang, Y.
- Venue
- IEEE Transactions on Parallel and Distributed Systems
- Published
- 2020-03-01
- Volume
- 31
- Issue
- 3
- Pages
- 515-529
- ISSN
- 1045-9219 (ISSN-L)
- 1558-2183
- 2161-9883
- OpenAlex
- W2972268941
- Cited by
- 398
- References
- 37
- FWCI
- 27.54
- Type
- journal article
- Language
- en
- Open access
- green
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