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Failure Diagnosis for Cluster Systems using Partial Correlations

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Publication date22/12/2021
Host publication2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
PublisherIEEE
Pages1091-1101
Number of pages11
ISBN (Electronic)9781665435741
ISBN (Print)9781665411936
<mark>Original language</mark>English
EventThe 19th IEEE International Symposium on Parallel and Distributed Processing with Applications - , United States
Duration: 1/10/20213/10/2021
http://www.cloud-conf.net/ispa2021/

Conference

ConferenceThe 19th IEEE International Symposium on Parallel and Distributed Processing with Applications
Abbreviated titleISPA
Country/TerritoryUnited States
Period1/10/213/10/21
Internet address

Conference

ConferenceThe 19th IEEE International Symposium on Parallel and Distributed Processing with Applications
Abbreviated titleISPA
Country/TerritoryUnited States
Period1/10/213/10/21
Internet address

Abstract

Failures have expensive implications in HPC (High-Performance Computing) systems. Consequently, effective diagnosis of system failures is desired to help improve system reliability from both a remedial and preventive perspective. As HPC systems conduct extensive logging of resource usage and system events,
parsing this data is an oft advocated basis for failure diagnosis. However, the high levels of concurrency that exist in HPC systems cause system events to frequently interleave in time and, as such, certain interactions appear or become indirect. which will be missed by current failure diagnostics techniques. To help uncover such indirect interactions, in this paper, we develop a novel approach that leverages the concept of partial correlation. The novel failure diagnostics workflow - called IFADE - extracts partial correlation of resource use counters and partial correlation of system errors. As part of our contributions, we (a) compare our diagnostics approach with current ones, (b) identify two previously
unknown causes of system failures, validated by system designers and (c) provide insights into Lustre I/O and segmentation faults. IFADE has been put on the public domain to support system administrators in failure diagnosis.

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©2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.