Formulating Interference-aware Data Delivery Strategies in Edge Storage Systems
Paper
Paper/Presentation Title | Formulating Interference-aware Data Delivery Strategies in Edge Storage Systems |
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Presentation Type | Paper |
Authors | Xia, Xiaoyu, Chen, Feifei, He, Qiang, Cui, Guangming, Grundy, John, Abdelrazek, Mohamed and Dong, Fang |
Journal or Proceedings Title | Proceedings of the 51st International Conference on Parallel Processing (ICPP '22) |
Journal Citation | pp. 1-11 |
Article Number | 68 |
Number of Pages | 11 |
Year | 2023 |
Publisher | Association for Computing Machinery (ACM) |
Place of Publication | United States |
ISBN | 9781450397339 |
Digital Object Identifier (DOI) | https://doi.org/10.1145/3545008.3545078 |
Web Address (URL) of Paper | https://dl.acm.org/doi/10.1145/3545008.3545078 |
Conference/Event | 51st 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. |
Keywords | edge computing; data delivery; edge storage system; interferenceaware; user allocation |
ANZSRC Field of Research 2020 | 4699. Other information and computing sciences |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Deakin University |
University of Southern Queensland | |
Swinburne University of Technology | |
Monash University | |
Southeast University, China |
https://research.usq.edu.au/item/z5901/formulating-interference-aware-data-delivery-strategies-in-edge-storage-systems
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