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Honolulu, HI, USA USA
June 24, 2012 to June 29, 2012
ISBN: 978-1-4673-2892-0
pp: 860-867
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).
Virtual machine monitors, Computational modeling, Servers, Monitoring, Memory management, Throughput, Complexity theory, VM placement, over-subscription, over-commitment, overload, quiesce, optimization
Long Wang, Rafah A. Hosn, Chunqiang Tang, "Remediating Overload in Over-Subscribed Computing Environments", CLOUD, 2012, 2013 IEEE Sixth International Conference on Cloud Computing, 2013 IEEE Sixth International Conference on Cloud Computing 2012, pp. 860-867, doi:10.1109/CLOUD.2012.53
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