- Journal Home
- Volume 22 - 2025
- Volume 21 - 2024
- Volume 20 - 2023
- Volume 19 - 2022
- Volume 18 - 2021
- Volume 17 - 2020
- Volume 16 - 2019
- Volume 15 - 2018
- Volume 14 - 2017
- Volume 13 - 2016
- Volume 12 - 2015
- Volume 11 - 2014
- Volume 10 - 2013
- Volume 9 - 2012
- Volume 8 - 2011
- Volume 7 - 2010
- Volume 6 - 2009
- Volume 5 - 2008
- Volume 4 - 2007
- Volume 3 - 2006
- Volume 2 - 2005
- Volume 1 - 2004
Cited by
- BibTex
- RIS
- TXT
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} }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.