Title: The performance analysis for virtualisation cluster and cloud platforms

Authors: Ying-Chuan Chen; Shuen-Tai Wang; Hsi-Ya Chang; Te-Ming Chen; Chin-Hung Li

Addresses: Software Technology Division, National Center for High-Performance Computing, NCHC, No. 28, Nan-Ke 3rd Rd., Hsin-Shi Dist., Tainan City 74147, Taiwan. ' Software Technology Division, National Center for High-Performance Computing, NCHC, No. 28, Nan-Ke 3rd Rd., Hsin-Shi Dist., Tainan City 74147, Taiwan. ' Software Technology Division, National Center for High-Performance Computing, NCHC, No. 28, Nan-Ke 3rd Rd., Hsin-Shi Dist., Tainan City 74147, Taiwan. ' Software Technology Division, National Center for High-Performance Computing, NCHC, No. 28, Nan-Ke 3rd Rd., Hsin-Shi Dist., Tainan City 74147, Taiwan. ' Software Technology Division, National Center for High-Performance Computing, NCHC, No. 28, Nan-Ke 3rd Rd., Hsin-Shi Dist., Tainan City 74147, Taiwan

Abstract: Virtualisation technology is a principal research issue in current cloud computing domain. We can obtain many benefits using the virtualisation technology in cloud and cluster computing, such as the ability to deploy any virtual platforms rapidly, easiness to manage all precious resources, provide customisation services platform and cost reduction. In order to discover optimal computing performance for virtualisation platforms, related virtualisation platforms with several well-known virtual machine tools are evaluated via standard benchmark programmes, including HPC challenge benchmark, NetPIPE and NCHC Application Suite. In this paper, we will analyse and compare significant experiment results that not only demonstrate the adequacy of virtual machines for high-performance computing, but also present different performance characteristics for virtualisation on cloud environment.

Keywords: virtualisation technology; cloud computing; virtual platforms; virtual machines; performance; cluster computing; virtual machine tools; high performance computing.

DOI: 10.1504/IJCSE.2011.043924

International Journal of Computational Science and Engineering, 2011 Vol.6 No.4, pp.255 - 263

Received: 11 May 2011
Accepted: 07 Jul 2011
Published online: 21 Mar 2015 *

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