{"title":"Towards More Effective and Explainable Fault Management Using Cross-Layer Service Topology","authors":"D. Mathews, Mudit Verma, J. Lakshmi, P. Aggarwal","doi":"10.1109/CLOUD55607.2022.00026","DOIUrl":null,"url":null,"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.","PeriodicalId":54281,"journal":{"name":"IEEE Cloud Computing","volume":"56 1","pages":"94-96"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLOUD55607.2022.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
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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.
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)
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