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Characterizing performance interference for performance crisis mitigation in the virtualized environment


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Abstract

With the rapid development of the Web, cloud computing has received much attention. The key enabling factor for cloud computing is the virtualization technology by which multiple virtual machines can run in a shared physical machine and enable high utilization of hardware resources. However, the consolidation also introduces contention in shared resources, leading to degraded application performance. Then, one of challenges is to detect and mitigate the performance crisis where one or more virtualized machines2019 performance target is not achieved. We present a method for mitigating the performance crisis, which leverages the performance interference model to predict the possibility of the performance crisis caused by the consolidation and employs this model to learn the bad or good consolidation plan to identify a new placement strategy to mitigate the performance crisis. Our experiments show the better performance of the mitigating methods.


Keywords


Pages

Total Pages: 12
Pages: 567-578

DOI
10.1080/10798587.2016.1152773


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Published

Volume: 22
Issue: 4
Year: 2016

Cite this document


References

Beloglazov, Anton, and Rajkumar Buyya. "Optimal Online Deterministic Algorithms and Adaptive Heuristics for Energy and Performance Efficient Dynamic Consolidation of Virtual Machines in Cloud Data Centers." Concurrency and Computation: Practice and Experience 24.13 (2011): 1397-1420. Crossref. Web. https://doi.org/10.1002/cpe.1867

Ibarra, Oscar H., and Chul E. Kim. "Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors." Journal of the ACM 24.2 (1977): 280-289. Crossref. Web. https://doi.org/10.1145/322003.322011

Jing, Weipeng et al. "An Effective Bi-Criteria and Contention Awareness Scheduling in Heterogeneous Distributed Systems." Intelligent Automation & Soft Computing 17.6 (2011): 759-769. Crossref. Web. https://doi.org/10.1080/10798587.2011.10643185

Lai, Chih-Chin. "A Novel Clustering Approach Using Hierarchical Genetic Algorithms." Intelligent Automation & Soft Computing 11.3 (2005): 143-153. Crossref. Web. https://doi.org/10.1080/10798587.2005.10642900

Li, X. "Parallel Algorithms for Hierarchical Clustering and Cluster Validity." IEEE Transactions on Pattern Analysis and Machine Intelligence 12.11 (1990): 1088-1092. Crossref. Web. https://doi.org/10.1109/34.61708

Abid, Sabeur, Farhat Fnaiech, and B.W. Jervis. "A New Mixed Least Mean Square and Least Mean Fourth Algorithm for Multiplayer Perceptron Fast Training." Intelligent Automation & Soft Computing 17.3 (2011): 287-308. Crossref. Web. https://doi.org/10.1080/10798587.2011.10643149

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present




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