In this paper, a model-based predictive control approach for fault management in computing systems is presented. The proposed approach can incorporate existing fault diagnosis methods and fault recovery actions to facilitate the recovery process. When a fault is identified, the proposed algorithm uses utility cost functions to compute the optimal recovery solution that minimizes fault impacts on the system's Quality of Service. The proposed approach has been demonstrated on a Web service testbed under various faults.
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Jia et al. (2015) studied this question.
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