Formulating Interference-aware Data Delivery Strategies in Edge Storage Systems

Paper

Xia, Xiaoyu, Chen, Feifei, He, Qiang, Cui, Guangming, Grundy, John, Abdelrazek, Mohamed and Dong, Fang. 2023. "Formulating Interference-aware Data Delivery Strategies in Edge Storage Systems." 51st International Conference on Parallel Processing (ICPP '22). Bordeaux, France 29 Aug - 01 Sep 2022 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3545008.3545078
Paper/Presentation Title

Formulating Interference-aware Data Delivery Strategies in Edge Storage Systems

Presentation TypePaper
AuthorsXia, Xiaoyu, Chen, Feifei, He, Qiang, Cui, Guangming, Grundy, John, Abdelrazek, Mohamed and Dong, Fang
Journal or Proceedings TitleProceedings of the 51st International Conference on Parallel Processing (ICPP '22)
Journal Citationpp. 1-11
Article Number68
Number of Pages11
Year2023
PublisherAssociation for Computing Machinery (ACM)
Place of PublicationUnited States
ISBN9781450397339
Digital Object Identifier (DOI)https://doi.org/10.1145/3545008.3545078
Web Address (URL) of Paperhttps://dl.acm.org/doi/10.1145/3545008.3545078
Conference/Event51st International Conference on Parallel Processing (ICPP '22)
Event Details
51st International Conference on Parallel Processing (ICPP '22)
Parent
International Conference on Parallel Processing (ICPP)
Delivery
In person
Event Date
29 Aug 2022 to end of 01 Sep 2022
Event Location
Bordeaux, France
Abstract

Networked edge servers constitute an edge storage system in edge computing (EC). Upon users’ requests, data must be delivered from edge servers in the system or from the cloud to users. Existing studies of edge storage systems have unfortunately neglected the fact that an excessive number of users accessing the same edge server for data may impact users’ data rates seriously due to the wireless interference. Thus, users must first be allocated to edge servers properly for ensuring their data rates. After that, requested data can be delivered to users to minimize their average data delivery latency. In this paper, we formulate this Interference-aware Data Delivery at the network Edge (IDDE) problem, and demonstrate its NP-hardness. To tackle it effectively and efficiently, we propose IDDE-G, a novel approach that first finds a Nash equilibrium as the strategy for allocating users. Then, it finds an approximate strategy for delivering requested data to allocated users. We analyze the performance of IDDE-G theoretically and evaluate its performance experimentally to demonstrate the effectiveness and efficiency of IDDE-G on solving the IDDE problem.

Keywordsedge computing; data delivery; edge storage system; interferenceaware; user allocation
ANZSRC Field of Research 20204699. Other information and computing sciences
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsDeakin University
University of Southern Queensland
Swinburne University of Technology
Monash University
Southeast University, China
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