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Remediating Overload in Over-Subscribed Computing Environments

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3 Author(s)
Long Wang ; Thomas J. Watson Res. Center, IBM Corp., Hawthorne, NY, USA ; Hosn, R.A. ; Chunqiang Tang

Resource over subscription brings the risk of resource overload. This paper proposes a mechanism to remediate overload without assuming there is always resource available for migration. A work value notion is introduced to compare importance of VMs, and the overload remediation problem is formulated as a variant of Removable Online Multi-Knapsack Problem. An algorithm is proposed to solve this optimization problem. The mechanism is implemented in a large commercial Cloud environment. Experiments and model-based studies demonstrate the effectiveness of the proposed mechanism in remediating overload and its performance in maximizing work values provided by computing environments (27% higher work values than the baseline algorithm in our study).

Published in:

Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on

Date of Conference:

24-29 June 2012

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