i-manager Publications

A Literature Survey on Cloud Computing

Venkatesan Thillainayagam*

Assistant Professor, Department of Computer Applications, AVC College of Engineering, Mayiladuthurai, Tamilnadu, India.

Periodicity:December - February'2012
DOI : https://doi.org/10.26634/jit.1.1.1842

Abstract

Cloud computing has recently emerged as a new paradigm for hosting and delivering services over the Internet. Cloud computing is attractive to business owners as it eliminates the requirement for users to plan ahead for provisioning, and allows enterprises to start from the small and increase resources only when there is a rise in service demand. However, despite the fact that cloud computing offers huge opportunities to the IT industry, the development of cloud computing technology is currently at its infancy, with many issues still to be addressed. In this review paper, we present a survey of cloud computing, highlighting its key concepts and architectural principles. The aim of this review paper is to provide a better understanding of the cloud computing environment and identify important research directions in this increasingly important area.

Keywords

Cloud computing, Virtualization

How to Cite this Article?

Thillainayagam, V. (2012). A Literature Survey On Cloud Computing. i-manager’s Journal on Information Technology, 1(1), 44-49 https://doi.org/10.26634/jit.1.1.1842

References

[1]. L. Tucker (2009). Introduction to cloud computing for Startups and Developers, Sun Microsystems, Inc.

[2]. T. Foster, Y. Zhao, I. Raicu, S. Lu (2008). Cloud Computing and Grid Computing 360-Degree Compared, in: Grid Computing Environments Workshop, pp. 1–10.

[3]. Urgaonkar, B., et.al (2005). Dynamic provisioning of multi-tier Internet applications. In: Proc of ICAC.

[4]. Zhang, Q., et.al (2007). A regression-based analytic model for dynamic resource provisioning of multi-tier applications. In: Proc ICAC.

[5]. Kalyvianaki, E., et.al (2009). Self-adaptive and selfconfigured CPU resource provisioning for virtualized servers using Kalman filters. In: Proc of international conference on autonomic computing.

[6]. Bodik, P., et.al (2009). Statistical machine learning makes automatic control practical for Internet datacenters. In: Proc Hot Cloud.

[7]. Osman, S., Subhraveti, D., et.al (2002). The design and implementation of zap: a system for migrating computing environments. In: Proc of OSDI.

[8]. XenSource Inc, Xen, www.xensource.com.

[9]. VMWare ESX Server, www.vmware.com.

[10]. Clark, C., Fraser, K., Hand, S., Hansen, J.G., Jul, E., Limpach, C., Pratt, I., & Warfield, A. (2005). Live migration of virtual machines. In: Proc of NSDI.

[11]. Li, B., et.al (2009). EnaCloud: an energy-saving application live placement approach for cloud computing environments. In: Proc of international conf on cloud computing.

[12]. Vasic, N., et.al (2009). Making cluster applications energy-aware. In: Proc of automated ctrl for datacenters and clouds.

[13]. Srikantaiah, S., et.al (2008). Energy aware consolidation for cloud computing. In: Proc of HotPower.

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

A Literature Survey on Cloud Computing

Abstract

Keywords

How to Cite this Article?

References

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