Towards More Effective and Explainable Fault Management Using Cross-Layer Service Topology

Q1 Computer Science

IEEE Cloud Computing Pub Date : 2022-07-01 DOI:10.1109/CLOUD55607.2022.00026

D. Mathews, Mudit Verma, J. Lakshmi, P. Aggarwal

引用次数: 0

Abstract

As microservice architecture becomes prominent, existing fault management techniques to deal with service disruption become limiting mainly due to the amount of data needed to be analyzed. This paper emphasizes the need to consider the cross-layer topology of the cloud service to intelligently identify and correlate the observability data and assist in implementing efficient and more accurate fault management techniques that can provide better explainability. Towards this goal, the paper presents a tool that discovers the cross-layer topology for a cloud microservice application and discusses the benefits of using cross-layer service topology to implement effective fault management.

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利用跨层业务拓扑实现更有效和可解释的故障管理

随着微服务架构的突出，现有的故障管理技术处理服务中断变得有限，主要是由于需要分析的数据量。本文强调需要考虑云服务的跨层拓扑，以智能地识别和关联可观察性数据，并协助实现更有效、更准确的故障管理技术，从而提供更好的可解释性。为了实现这一目标，本文提出了一个发现云微服务应用程序的跨层拓扑的工具，并讨论了使用跨层服务拓扑实现有效故障管理的好处。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Cloud Computing Computer Science-Computer Networks and Communications

CiteScore

11.20

自引率

0.00%

发文量

期刊介绍： Cessation. IEEE Cloud Computing is committed to the timely publication of peer-reviewed articles that provide innovative research ideas, applications results, and case studies in all areas of cloud computing. Topics relating to novel theory, algorithms, performance analyses and applications of techniques are covered. More specifically: Cloud software, Cloud security, Trade-offs between privacy and utility of cloud, Cloud in the business environment, Cloud economics, Cloud governance, Migrating to the cloud, Cloud standards, Development tools, Backup and recovery, Interoperability, Applications management, Data analytics, Communications protocols, Mobile cloud, Private clouds, Liability issues for data loss on clouds, Data integration, Big data, Cloud education, Cloud skill sets, Cloud energy consumption, The architecture of cloud computing, Applications in commerce, education, and industry, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Business Process as a Service (BPaaS)