Expert-Guided Automatic Diagnosis of Performance Problems in Enterprise Applications

Heger, Christoph, van Hoorn, Andre, Okanović, Dušan, Siegl, Stefan and Wert, Alexander (2016) Expert-Guided Automatic Diagnosis of Performance Problems in Enterprise Applications [Paper] In: 12th European Dependable Computing Conference (EDCC '16), September 5-9, 2016, Gothenburg, Sweden.

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HegerVanHoornOkanovicSieglWert2016EDCC-ExpertGuidedDiagnosisOfPerformanceProblemsInEnterpriseApplications-cameraReady-stamped.pdf - Accepted Version

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Abstract

Application performance management (APM) is a necessity to detect and solve performance problems during operation of enterprise applications. While existing tools provide alerting and visualization capabilities when performance requirements are violated during operation, the isolation and diagnosis of the problem’s real root cause is the responsibility of the rare performance expert, often resulting in a boring and recurring task. Main challenges for APM adoption in practice include that initial setup and maintenance of APM, and particularly the diagnosis of performance problems are error-prone, costly, and require a high manual effort and expertise. In this paper, we present preliminary work on diagnoseIT, an approach that utilizes formalized APM expert knowledge to automate the aforementioned recurring APM activities.

Document Type: Conference or Workshop Item (Paper)
Keywords: software performance, problem diagnosis, monitoring, performance anti-patterns
Research affiliation: Kiel University > Faculty of Engineering > Department of Computer Science > Software Engineering
Projects: Kieker
Date Deposited: 10 Jun 2016 09:17
Last Modified: 10 Jun 2016 09:17
URI: http://eprints.uni-kiel.de/id/eprint/33058

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