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Run-time correlation engine for system monitoring and testing

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Show simple item record Holub, Viliam Parsons, Trevor O'Sullivan, Patrick Murphy, John 2012-07-24T08:02:57Z 2012-07-24T08:02:57Z 2009
dc.description peer-reviewed en_US
dc.description.abstract We present an approach and implementation for run-time correlation of large volumes of log data and symptom matching of know issues in the context of large enterprise applications. Our solution provides for (a) automatic data collection, (b) data normalisation into a common format, (c) run time correlation and analysis of the data to give a coherent view of system behaviour at run-time and (d) a symptom matching mechanism that can identify known errors in the correlated data on the fly. We have implemented our approach in the form of the Run-Time Correlation Engine (RTCE) and have applied it in a real industry test. en_US
dc.language.iso eng en_US
dc.publisher Association for Computing Machinery en_US
dc.relation.ispartofseries ICAC '09 Proceedings of the 6th international conference on Autonomic computing;pp. 43-44
dc.rights "© ACM, 2009. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ICAC '09 Proceedings of the 6th International Conference on Autonomic computing, en_US
dc.subject performance en_US
dc.subject reliability en_US
dc.subject verification en_US
dc.title Run-time correlation engine for system monitoring and testing en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.contributor.sponsor SFI en_US
dc.relation.projectid 03/CE2/I303_1 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

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