Characterizing performance interference for performance crisis mitigation in the virtualized environment. Issue 4 (1st October 2016)

• Record Type: Journal Article
• Authors: Yang, Lei; Dai, Yu; Zhang, Bin
• Is Part Of: Intelligent automation & soft computing. Volume 22:Issue 4(2016)
• Page Start: 567
• Page End: 578
• Publication Date: 2016-10-01
• Subjects: Cloud computing -- Performance Interference -- Crisis mitigation -- VM migration; Artificial intelligence -- Periodicals; Intelligent control systems -- Periodicals; 003.5
• DOI: 10.1080/10798587.2016.1152773
• Languages: English
• ISSNs: 1079-8587

Abstract

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 machines' 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.