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2007
IEEE

Failure Prediction in Computational Grids

10 years 4 months ago
Failure Prediction in Computational Grids
Accurate failure prediction in Grids is critical for reasoning about QoS guarantees such as job completion time and availability. Statistical methods can be used but they suffer from the fact that they are based on assumptions, such as time-homogeneity, that are often not true. In particular, periodic failures are not modeled well by statistical methods. In this paper, we present an alternative mechanism for failure prediction in which periodic failures are first determined and then filtered from the failure list. The remaining failures are then used in a traditional statistical method. We show that the use of prefiltering leads to an order of magnitude better predictions.
Woochul Kang, Andrew S. Grimshaw
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where ANSS
Authors Woochul Kang, Andrew S. Grimshaw
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