@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 = {<p style="text-align: justify;">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.&nbsp;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.</p>},
issn = {2617-8710},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnam/633.html}
}