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Mathematical Problems in Engineering
Volume 2013, Article ID 947234, 11 pages
http://dx.doi.org/10.1155/2013/947234
Research Article

Empirical Analysis of Server Consolidation and Desktop Virtualization in Cloud Computing

1Department of Computer Science and Information Engineering, National University of Kaohsiung, 81148 Kaohsiung, Taiwan
2Department of Marketing Management, Shu Te University, 82445 Kaohsiung, Taiwan
3Department of Computer Science and Information Engineering, National University of Kaohsiung, 81148 Kaohsiung, Taiwan

Received 11 September 2013; Accepted 10 October 2013

Academic Editor: Teen-Hang Meen

Copyright © 2013 Bao Rong Chang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Physical server transited to virtual server infrastructure (VSI) and desktop device to virtual desktop infrastructure (VDI) have the crucial problems of server consolidation, virtualization performance, virtual machine density, total cost of ownership (TCO), and return on investments (ROI). Besides, how to appropriately choose hypervisor for the desired server/desktop virtualization is really challenging, because a trade-off between virtualization performance and cost is a hard decision to make in the cloud. This paper introduces five hypervisors to establish the virtual environment and then gives a careful assessment based on C/P ratio that is derived from composite index, consolidation ratio, virtual machine density, TCO, and ROI. As a result, even though ESX server obtains the highest ROI and lowest TCO in server virtualization and Hyper-V R2 gains the best performance of virtual machine management; both of them however cost too much. Instead the best choice is Proxmox Virtual Environment (Proxmox VE) because it not only saves the initial investment a lot to own a virtual server/desktop infrastructure, but also obtains the lowest C/P ratio.