边缘计算系统故障与故障注入技术综述

M. Pourreza, P. Narasimhan
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引用次数: 0

摘要

边缘计算近年来出现,用于减少延迟、节省带宽和增强应用程序的隐私。随着越来越多的边缘计算应用程序被部署,越来越需要确保这些系统的容错能力。为了实现容错边缘计算,了解潜在故障和故障注入方法至关重要。在本文中,我们调查了过去6年中发表在25个顶级会议和期刊上的76篇研究论文,重点是容错边缘计算。通过我们的分析,我们确定了最相关的故障以及常用的实用故障注入技术、模拟框架和边缘计算中使用的基准。我们从这项调查中得到的关键见解强调了处理以边缘为中心的故障的重要性,包括性能、资源压力和网络分区故障,以及在未来的研究中开发以边缘为中心的故障注入方法和可靠性基准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey of Faults and Fault-Injection Techniques in Edge Computing Systems
Edge computing has emerged in recent years to reduce latency, conserve bandwidth, and enhance privacy for applications. As more edge computing applications are being deployed, there is a growing need to ensure fault tolerance for such systems. To achieve fault-tolerant edge computing, understanding potential faults and fault-injection methods is crucial. In this paper, we surveyed 76 research publications in over 25 top conferences and journals published during the last 6 years with a focus on fault-tolerant edge computing. Through our analysis, we identified the most relevant faults as well as the common practical fault-injection techniques, simulation frameworks, and benchmarks used in edge computing. Our key insights from this survey underscore the importance of handling edge-centric faults including performance, resource-stressing, and network-partition faults as well as developing edge-centric fault-injection methods and dependability benchmarks in future studies.
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