Predictive probabilistic and possibilistic models used for risk assessment of SLAs in grid computing

Christer Carlsson, Robert Fullér

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We developed a hybrid probabilistic and possibilistic technique for assessing the risk of an SLA for a computing task in a cluster/grid environment. The probability of success with the hybrid model is estimated higher than in the probabilistic model since the hybrid model takes into consideration the possibility distribution for the maximal number of failures derived from a resource provider's observations. The hybrid model showed that we can increase or decrease the granularity of the model as needed; we can reduce the estimate of the P(S* = 1) by making a rougher, more conservative, estimate o f the more unlikely events of (M + 1, N) node failures. We noted that M is an estimate which is dependent on the history of the nodes being used and can be calibrated to'a few' or to'many' nodes.

Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems
Subtitle of host publicationApplications, 13th International Conference, IPMU 2010, Proceedings
EditorsEyke Hullermeier, Rudolf Kruse, Frank Hoffmann
Pages747-757
Number of pages11
DOIs
Publication statusPublished - Dec 1 2010
Event13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010 - Dortmund, Germany
Duration: Jun 28 2010Jul 2 2010

Publication series

NameCommunications in Computer and Information Science
Volume81 PART 2
ISSN (Print)1865-0929

Other

Other13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010
CountryGermany
CityDortmund
Period6/28/107/2/10

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Keywords

  • Grid computing
  • Predictive possibilities
  • Predictive probabilities
  • Service level agreement (SLA)

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Cite this

Carlsson, C., & Fullér, R. (2010). Predictive probabilistic and possibilistic models used for risk assessment of SLAs in grid computing. In E. Hullermeier, R. Kruse, & F. Hoffmann (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems: Applications, 13th International Conference, IPMU 2010, Proceedings (pp. 747-757). (Communications in Computer and Information Science; Vol. 81 PART 2). https://doi.org/10.1007/978-3-642-14058-7_77