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Volume 9, Issue 2
Performance Combinative Evaluation from Single Virtual Machine to Multiple Virtual Machine Systems

K. Ye, J. Che, Q. He, D. Huang & X. Jiang

Int. J. Numer. Anal. Mod., 9 (2012), pp. 351-370.

Published online: 2012-09

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  • 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.

  • Keywords

Virtualization, Performance, VMM, HPC, Virtual cluster.

  • AMS Subject Headings

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{IJNAM-9-351, author = {K. Ye, J. Che, Q. He, D. Huang and X. Jiang}, title = {Performance Combinative Evaluation from Single Virtual Machine to Multiple Virtual Machine Systems}, journal = {International Journal of Numerical Analysis and Modeling}, year = {2012}, volume = {9}, number = {2}, pages = {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.

}, issn = {2617-8710}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/ijnam/633.html} }
TY - JOUR T1 - Performance Combinative Evaluation from Single Virtual Machine to Multiple Virtual Machine Systems AU - K. Ye, J. Che, Q. He, D. Huang & X. Jiang JO - International Journal of Numerical Analysis and Modeling VL - 2 SP - 351 EP - 370 PY - 2012 DA - 2012/09 SN - 9 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/ijnam/633.html KW - Virtualization, Performance, VMM, HPC, Virtual cluster. AB -

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.

K. Ye, J. Che, Q. He, D. Huang and X. Jiang. (2012). Performance Combinative Evaluation from Single Virtual Machine to Multiple Virtual Machine Systems. International Journal of Numerical Analysis and Modeling. 9 (2). 351-370. doi:
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