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COMPUTER VIRTUALIZATION FOR BUSINESS GROWTH

Authors: Ms. Sarbjit Kaur;

COMPUTER VIRTUALIZATION FOR BUSINESS GROWTH

Abstract

Virtualization has become a very popular research topic in recent years. Virtualization is used in varied applications such as e-Learning, business-to-business communication, social networking, computer simulation and enterprise development. Virtualization provides many benefits like greater efficiency in CPU utilization, greener IT with less power consumption, better management through central environment control, more availability, reduced project timelines by eliminating hardware procurement, improved disaster recovery capability, more central control of the desktop, and improved outsourcing services. These advances are due to the availability of high-speed computers, fiber-optic-enabled internet connections and advanced virtualization programs. However, only a very small amount of research has been conducted, most especially on the performance of virtualization programs. Thus little is known about the performance of the various virtualization programs such as VMware Workstation and Amazon Web Services. When dealing with virtualization, performance is of primary importance. This study opens a new path for research in the area related to performance of virtualization programs. The conclusion explores possible directions for future research on the performance of virtualization programs. Findings of this study may help businesses to select appropriate virtualization program as part of their information technology infrastructure and thereby benefit from using virtualization technology.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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