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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed, Platinum Open Access and Multidisciplinary

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A Study on Dynamic Resource Allocation using Virtual Machines for IAAS

Jella.Kishore, B.Kishore, , ,
Affiliations
M.Tech (CSE), Department of Computer Science & Engineering, Malla Reddy College Of Engineering
Assistant Professor, Department of Computer Science & Engineering, Malla Reddy College of Engineering, Maisammaguda (v) I Dhulapally (M), Secunderabad.
:NOT ASSIGNED


Abstract
Cloud computing allow business customers to scale up and down their resource usage based on needs. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper, we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of “skewness” to measure the unevenness’ in the multi-dimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.


Citation
Jella.Kishore,B.Kishore."A Study on Dynamic Resource Allocation using Virtual Machines for IAAS". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 11,pp.761-764, November- 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I1112.pdf,


Keywords : Cloud computing, Green computing, Resource, Skewness, Virtual machine.

References
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[3] P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, and A. Warfield, “Xen and the Art of Virtualization,” Proc. ACM Symp. Operating Systems Principles (SOSP ’03), Oct. 2003E. H. Miller, “A note on refle ctor arrays (Periodical style—Accepted for publication),” IEEE Trans. Antennas Propagat., to be published. 
[4] “Amazon elastic compute cloud (Amazon EC2),” http://aws. amazon.com/ec2/, 2012. 
[5] C. Clark, K. Fraser, S. Hand, J.G. Hansen, E. Jul, C. Limpach, I. Pratt, and A. Warfield, “Live Migration of Virtual Machine s,” Proc. Symp. Networked Systems Design and Implementation (NSDI ’05), May 2005..
 [6] M. Nelson, B.-H. Lim, and G. Hutchins, “Fast Trans parent Migration for Virtual Machines,” Proc. USENIX Ann. Technical Conf., 2005.M. Young, The Techincal Writers Handbook. Mill Valley, CA: University Science, 1989. 
[7] N. Bobroff, A. Kochut, and K. Beaty, “Dynamic Place ment of Virtual Machines for Managing SLA Violations,” Proc. IFIP/I EEE Int’l Symp. Integrated Network Management (IM ’07), 2007 . 
[8] T. Wood, P. Shenoy, A. Venkataramani, and M. Yousif, “Black-Box and Gray-Box Strategies for Virtual Machine Migration,” Proc. Symp. Networked Systems Design and Implementation (NSDI ’07), Apr. 2007.


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