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