IJMTES – DYNAMIC SOURCE DISTRIBUTION USING VIRTUAL MACHINES FOR CLOUD COMPUTING ENVIRONMENT

Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : Dr.V. Venkatesa Kumar, N.Karthikeyan

Volume 01 Issue o5  Year 2014  

ISSN no:  2348-3121 

Page no: 186-191

Abstract—The physical property and also the lack of direct capital investment offered by cloud computing is appealing to several businesses. there’s lots of debate on the advantages and prices of the cloud model and on a way to move inheritance applications onto the cloud platform. several of the touted gains within the cloud model come back from resource multiplexing through virtualization technology. during this paper, the system that uses virtualization technology to allot information center resources dynamically supported application demands by optimizing the amount of servers in use. The event of resource allocation system which will avoid overload within the system effectively whereas minimizing the amount of servers used. By minimizing lopsidedness, the general utilization of servers are often improved. lopsidedness formula achieves each overload dodging and inexperienced computing for systems with multi-resource constraints.

Keywords—Skewness, Optimization, Virtualization

Reference

[1] M. Armbrust et al., “Above the Clouds: A Berkeley View of Cloud Computing,” technical report, Univ. of California, Berkeley, Feb. (2009).
[2] 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. AcmSymp. Operating System Principles (SOSP ’03), Oct. (2003).
[3] “Amazon elastic compute cloud (Amazon EC2),” http://aws.amazon.com/ec2/, (2012).
[4] C. Clark, K. Fraser, S. Hand, J.G. Hansen, E. Jul, C. Limpach, I. Pratt, and A.Warfield, “Live Migration of Virtual Machines,” Proc. Symp. Networked Systems Design and Implementation (NSDI ’05), May (2005).
[5] M. Nelson, B.-H. Lim, and G. Hutchins, “Fast Transparent Migration for Virtual Machines,” Proc. USENIX Ann. Technical Conf., (2005).
[6] M. McNett, D. Gupta, A. Vahdat, and G.M. Voelker, “Usher: An Extensible Framework for Managing Clusters of Virtual Machines,” Proc. Large Installation System Administrator Conf. (LISA ’07), Nov. (2007).
[7] T. Wood, P. Shenoy, A. Venkataramani, and M. Yousif, “Black-Box and Gray-Box Strategies for Virtual Machine Migration,” Proc. Symp. Networked System Design and Implementation (NSDI ’07), Apr. (2007).
[8] C.A. Waldspurger, “Memory Resource Management in VMware ESX Server,” Proc. Symp. Operating Systems Design and Implementation (OSDI ‘02), Aug. (2002).
[9] G. Chen, H. Wenbo, J. Liu, S. Nath, L. Rigas, L. Xiao, and F. Zhao, “Energy-Aware Server Provisioning and Load Dispatching for Connection- Intensive Internet Services,” Proc. USENIX Symp. Networked Systems Design and Implementation (NSDI ‘08), Apr. (2008).
[10] P. Padala, K.-Y.Hou, K. G. Shin, X. Zhu, M. Uysal, Z. Wang, S. Singhal, and A. Merchant, “ Automated Control of Multiple Virtualized Resources,” Proc. ACM European conf. Computer Systems (EuroSys ‘09), (2009).
[11] N. Bobroff, A. Kochut, and K. Beaty, “Dynamic Placement of Virtual Machines for Managing SLA Violations,” Proc. IFIP/IEEE Int’l Symp. Integrated Network Management (IM ‘07), (2007).
[12] J. S. Chase, D. C. Anderson, P. N. Thakar, A. M. Vahdat, and R. P. Doyle, “Managing Energy and Server Resources in Hosting Centers,” Proc. ACM Symp. Operating System Principles (SOSP ‘01), Oct. (2001).

Full Pdf Paper-Click Here

Scroll Up