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Blackbox Strategies for Detecting Service Performance Anomalies in Virtualized Environments
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Distributed Systems)
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Distributed Systems)
2016 (English)Report (Other academic)
Abstract [en]

In order to prevent violation of service-level objectives and to guarantee good user experience, detection of symptoms such as slow application response, degraded transaction throughput, and service outages, is crucial. We propose a black-box approach for detecting such symptoms in service performance behaviour without intrusive application instrumentation. In case a known baseline behaviour exists, we employ kernel density estimation to discover deviations from a given set of baseline measurements. Conversely, when no baseline exists, we apply statistical process control charts on prediction errors obtained from Holt-Winter’s double exponential smoothing to identify anomalies in metric time-series. We evaluate our methods on tail response times traces collected from experiments conducted in a real testbed under realistic load and fault injections. Results show the applicability of our approach for improving service assurance and also demonstrate how service level anomalies correlate with system-level events such as resource contention and bottlenecks.

Place, publisher, year, edition, pages
Umeå: Umeå universitet , 2016. , 21 p.
Series
Report / UMINF, ISSN 0348-0542 ; 16.20
Keyword [en]
performance, anomaly detection, diagnosis, machine learning, cloud computing
National Category
Computer Systems
Research subject
Computer Systems; Computing Science
Identifiers
URN: urn:nbn:se:umu:diva-129428OAI: oai:DiVA.org:umu-129428DiVA: diva2:1060538
Projects
Cloud Control
Funder
Swedish Research Council, C0590801
Available from: 2016-12-28 Created: 2016-12-27 Last updated: 2017-01-26Bibliographically approved

Open Access in DiVA

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Ibidunmoye, OlumuyiwaElmroth, Erik
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf