Risk assessment of SLAs in grid computing with predictive probabilistic and possibilistic models

Christer Carlsson, R. Fullér

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (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 of 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 publicationStudies in Fuzziness and Soft Computing
Pages11-29
Number of pages19
Volume257
DOIs
Publication statusPublished - 2010

Publication series

NameStudies in Fuzziness and Soft Computing
Volume257
ISSN (Print)14349922

Fingerprint

Grid computing
Hybrid Model
Grid Computing
Risk Assessment
Risk assessment
Vertex of a graph
Estimate
Possibility Distribution
Granularity
Probabilistic Model
Rough
Model
Grid
Decrease
Resources
Dependent
Computing

Keywords

  • grid computing
  • predictive possibilities
  • predictive probabilities
  • risk assessment

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics

Cite this

Carlsson, C., & Fullér, R. (2010). Risk assessment of SLAs in grid computing with predictive probabilistic and possibilistic models. In Studies in Fuzziness and Soft Computing (Vol. 257, pp. 11-29). (Studies in Fuzziness and Soft Computing; Vol. 257). https://doi.org/10.1007/978-3-642-15976-3_2

Risk assessment of SLAs in grid computing with predictive probabilistic and possibilistic models. / Carlsson, Christer; Fullér, R.

Studies in Fuzziness and Soft Computing. Vol. 257 2010. p. 11-29 (Studies in Fuzziness and Soft Computing; Vol. 257).

Research output: Chapter in Book/Report/Conference proceedingChapter

Carlsson, C & Fullér, R 2010, Risk assessment of SLAs in grid computing with predictive probabilistic and possibilistic models. in Studies in Fuzziness and Soft Computing. vol. 257, Studies in Fuzziness and Soft Computing, vol. 257, pp. 11-29. https://doi.org/10.1007/978-3-642-15976-3_2
Carlsson C, Fullér R. Risk assessment of SLAs in grid computing with predictive probabilistic and possibilistic models. In Studies in Fuzziness and Soft Computing. Vol. 257. 2010. p. 11-29. (Studies in Fuzziness and Soft Computing). https://doi.org/10.1007/978-3-642-15976-3_2
Carlsson, Christer ; Fullér, R. / Risk assessment of SLAs in grid computing with predictive probabilistic and possibilistic models. Studies in Fuzziness and Soft Computing. Vol. 257 2010. pp. 11-29 (Studies in Fuzziness and Soft Computing).
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