Year: 2012
International Journal of Numerical Analysis and Modeling, Vol. 9 (2012), Iss. 2 : pp. 351–370
Abstract
Virtualization technology is widely used in server consolidation, high performance computing, and cloud data center due to its benefits on high resource utilization, flexible manageability, and dynamically scalability. However, it also introduces additional performance overheads. It’s worthy to evaluate the overheads and to find the bottleneck of virtualization in different scenarios. In this paper, we propose a combinative evaluation method to analyze the performance from single virtual machine to multiple virtual machine systems that measures and analyzes both the macro-performance and micro-performance. By correlating the analysis results of two-granularity performance data, some potential performance bottlenecks come out.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2012-IJNAM-633
International Journal of Numerical Analysis and Modeling, Vol. 9 (2012), Iss. 2 : pp. 351–370
Published online: 2012-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 20
Keywords: Virtualization Performance VMM HPC Virtual cluster.