Data, User and Power Allocations for Caching in Multi-Access Edge Computing

Article


Xia, Xiaoyu, Chen, Feifei, He, Qiang, Cui, Guangming, Grundy, John C., Abdelrazek, Mohamed, Xu, Xiaolong and Jin, Hai. 2022. "Data, User and Power Allocations for Caching in Multi-Access Edge Computing." IEEE Transactions on Parallel and Distributed Systems. 33 (5), pp. 1144-1155. https://doi.org/10.1109/TPDS.2021.3104241
Article Title

Data, User and Power Allocations for Caching in Multi-Access Edge Computing

ERA Journal ID20981
Article CategoryArticle
AuthorsXia, Xiaoyu (Author), Chen, Feifei (Author), He, Qiang (Author), Cui, Guangming (Author), Grundy, John C. (Author), Abdelrazek, Mohamed (Author), Xu, Xiaolong (Author) and Jin, Hai (Author)
Journal TitleIEEE Transactions on Parallel and Distributed Systems
Journal Citation33 (5), pp. 1144-1155
Number of Pages12
Year2022
Place of PublicationUnited States
ISSN1045-9219
1558-2183
Digital Object Identifier (DOI)https://doi.org/10.1109/TPDS.2021.3104241
Web Address (URL)https://ieeexplore.ieee.org/document/9511831
Abstract

In the multi-access edge computing (MEC) environment, app vendors’ data can be cached on edge servers to ensure low-latency data retrieval. Massive users can simultaneously access edge servers with high data rates through flexible allocations of transmit power. The ability to manage networking resources offers unique opportunities to app vendors but also raises unprecedented challenges. To ensure fast data retrieval for users in the MEC environment, edge data caching must take into account the allocations of data, users, and transmit power jointly. We make the first attempt to study the Data, User, and Power Allocation (DUPA 3 ) problem, aiming to serve the most users and maximize their overall data rate. First, we formulate the DUPA 3 problem and prove its NP -completeness. Then, we model the DUPA 3 problem as a potential DUPA 3 game admitting at least one Nash equilibrium and propose a two-phase game-theoretic decentralized algorithm named DUPA 3 Game to achieve the Nash equilibrium as the solution to the DUPA 3 problem. To evaluate DUPA 3 Game, we analyze its theoretical performance and conduct extensive experiments to demonstrate its effectiveness and efficiency.

Keywordsdata allocation; Edge computing; multi-access; optimization; power allocation; user allocation
ANZSRC Field of Research 2020460605. Distributed systems and algorithms
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Byline AffiliationsDeakin University
Swinburne University of Technology
Monash University
Nanjing Tech University, China
Huazhong University of Science and Technology, China
Institution of OriginUniversity of Southern Queensland
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