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Fault Prediction in Distributed Systems Gone Wild
EPFL.ORCID iD: 0000-0002-1256-1070
2010 (English)In: Proceedings of The 4th ACM SIGOPS/SIGACT Workshop on Large Scale Distributed Systems and Middleware, Association for Computing Machinery (ACM), 2010, -11 p.Conference paper, Published paper (Refereed)
Abstract [en]

We consider the problem of predicting faults in deployed, large-scale distributed systems that are heterogeneous and federated. Motivated by the importance of ensuring reliability of the services these systems provide, we argue that the key step in making these systems reliable is the need to automatically predict faults. For example, doing so is vital for avoiding Internet-wide outages that occur due to programming errors or misconfigurations.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2010. -11 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-147099DOI: 10.1145/1859184.1859187Scopus ID: 2-s2.0-78649392927ISBN: 978-1-4503-0406-1 (print)OAI: oai:DiVA.org:kth-147099DiVA: diva2:727668
Conference
The 4th ACM SIGOPS/SIGACT Workshop on Large Scale Distributed Systems and Middleware,Zurich, SwitzerlandJuly 25-28, 2010
Note

QC 20140707

Available from: 2014-06-23 Created: 2014-06-23 Last updated: 2014-07-07Bibliographically approved

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fulltext(177 kB)109 downloads
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Kostic, Dejan

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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