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Probabilistic Versus Possibilistic Risk Assessment Models for Optimal Service Level Agreements in Grid Computing

Christer Carlsson, Robert Fuller, Probabilistic Versus Possibilistic Risk Assessment Models for Optimal Service Level Agreements in Grid Computing. Information Systems and E-Business Management 11(1), 13–28, 2013.

Abstract:

We present a probabilistic and a possibilistic model for assessing the risk of a service level agreement for a computing task in a cluster/grid environment. These models can also be applied to cloud computing. Using the predictive probabilistic approach we develop a framework for resource management in grid computing, and by introducing an upper limit for the number of failures we approximate the probability that a particular computing task is successful. In the predictive possibility model we estimate the possibility distribution of the future number of node failures by a fuzzy nonparametric regression technique. Then the resource provider can use the probabilistic or the possibilistic model to get alternative risk assessments.

BibTeX entry:

@ARTICLE{jChRo13a,
  title = {Probabilistic Versus Possibilistic Risk Assessment Models for Optimal Service Level Agreements in Grid Computing},
  author = {Carlsson, Christer and Fuller, Robert},
  journal = {Information Systems and E-Business Management},
  volume = {11},
  number = {1},
  publisher = {Springer-Verlag },
  pages = {13–28},
  year = {2013},
  keywords = {Grid and cloud computing, Service level agreement (SLA), Predictive probabilities, Predictive possibilities},
}

Belongs to TUCS Research Unit(s): Institute for Advanced Management Systems Research (IAMSR)

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