Location-Aware Maintenance Strategies for Edge Computing Infrastructures

被引：8

作者：

Souza, Paulo S. ^{[1
]}

Ferreto, Tiago C. ^{[1
]}

Rossi, Fabio D. ^{[2
]}

Calheiros, Rodrigo N. ^{[3
]}

机构：

[1] Pontificia Univ Catolica Rio Grande do Sul, Sch Technol, BR-90619900 Porto Alegre, RS, Brazil

[2] Fed Inst Farroupilha, BR-97555000 Alegrete, Brazil

[3] Western Sydney Univ, Sch Comp Data & Math Sci, Parramatta, NSW 2000, Australia

来源：

IEEE COMMUNICATIONS LETTERS | 2022年 / 26卷 / 04期

关键词：

Servers; Maintenance engineering; Delays; Bandwidth; Mathematical models; Wireless communication; Edge computing; update; maintenance;

D O I：

10.1109/LCOMM.2022.3150243

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Efficient server maintenance and update is essential to prevent performance and security issues in edge computing environments. Despite many initiatives in maintenance planning, state-of-the-art approaches concentrate on carrying out updates in cloud data centers, ignoring aspects of the problem that are specific to the edge computing paradigm, such as user-location awareness. In this letter, we present two maintenance strategies, called Lamp and Laxus, that consider users' locations when performing migration decisions to avoid delay bottlenecks during edge servers maintenance. Results show that the proposed strategies can reduce maintenance time by 44.27% compared to existing strategies while effectively avoiding delay bottlenecks.

引用

页码：848 / 852

页数：5

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