Risk Assessment Modeling in Grids at Component Level: Considering Grid Resources as Repairable

Conference paper

DOI: 10.1007/978-3-642-28765-7_38

Volume 151 of the book series Advances in Intelligent and Soft Computing (AINSC)
Cite this paper as:
Sangrasi A., Djemame K. (2012) Risk Assessment Modeling in Grids at Component Level: Considering Grid Resources as Repairable. In: Omatu S., De Paz Santana J., González S., Molina J., Bernardos A., Rodríguez J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg

Abstract

Service level agreements (SLAs), as formal contractual agreements, increase the confidence level between the End user and the Grid Resource provider, as compared to the best effort approach. On the other end, SLAs fall short of assessing the risk in acceptance of the SLA, risk assessment in Grid computing fills that gap. The current approaches to risk assessment are based on node level risk assessment. This work is differentiated by that it provides risk assessment information at the granularity level of components. A risk assessment model at the component level based on Non-Homogeneous Poisson Process (NHPP) model is proposed. Grid failure data is used for the experimentation at the component level. The Grid risk model selection is validated by using a goodness of fit test along with graphical approaches. The experimental results provide detailed risk assessment information at the component level which can be used by Grid Resource provider to manage and use the Grid resources efficiently.

Keywords

Risk Assessment Repairable Grid resources Probability of Failure 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.School of ComputingUniversity of LeedsLeedsUK