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Characterizing performance interference for performance crisis mitigation in the virtualized environment



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.



Total Pages: 12
Pages: 567-578


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Volume: 22
Issue: 4
Year: 2016

Cite this document


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.

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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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