EdgeDis: Enabling Fast, Economical, and Reliable Data Dissemination for Mobile Edge Computing

被引:3
|
作者
Li, Bo [1 ]
He, Qiang [2 ,3 ]
Chen, Feifei [4 ]
Lyu, Lingjuan [5 ]
Bouguettaya, Athman [6 ]
Yang, Yun [7 ]
机构
[1] Victoria Univ, Coll Arts Business Law Educ & Informat Technol, Melbourne, Vic 3122, Australia
[2] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Natl Engn Res Ctr Big Data Technol & Syst, Cluster & Grid Comp Lab,Serv Comp Technol & Syst L, Wuhan 430074, Peoples R China
[3] Swinburne Univ Technol, Dept Comp Technol, Melbourne, Vic 3122, Australia
[4] Deakin Univ, Sch Informat Technol, Geelong, Vic 3220, Australia
[5] SONY AI Inc, Tokyo 1080075, Japan
[6] Univ Sydney, Sch Comp Sci, Camperdown, NSW 2006, Australia
[7] Swinburne Univ Technol, Dept Comp Technol, Melbourne, Vic 3122, Australia
基金
澳大利亚研究理事会;
关键词
And reliability; data caching; data dissemination; distributed consensus; efficiency; mobile edge computing; CACHE DATA INTEGRITY;
D O I
10.1109/TSC.2023.3328991
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile edge computing (MEC) enables web data caching in close geographic proximity to end users. Popular data can be cached on edge servers located less than hundreds of meters away from end users. This ensures bounded latency guarantees for various latency-sensitive web applications. However, transmitting a large volume of data out of the cloud onto many geographically-distributed web servers individually can be expensive. In addition, web content dissemination may be interrupted by various intentional and accidental events in the volatile MEC environment, which undermines dissemination efficiency and subsequently incurs extra transmission costs. To tackle the above challenges, we present a novel scheme named EdgeDis that coordinates data dissemination by distributed consensus among those servers. We analyze EdgeDis's validity theoretically and evaluate its performance experimentally. Results demonstrate that compared with baseline and state-of-the-art schemes, EdgeDis: 1) is 5.97x - 7.52x faster; 2) reduces dissemination costs by 48.21% to 91.87%; and 3) reduces performance loss caused by dissemination failures by up to 97.30% in time and 96.35% in costs.
引用
收藏
页码:1504 / 1518
页数:15
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