• Pravin Chavan BE[Computer], GSMoze College of Engineering, Pune-411045.
  • Sagar Kokare BE[Computer], GSMoze College of Engineering, Pune-411045.
  • Srinivas Dharawath Prof.[Computer], GSMoze College of Engineering, Pune-411045.


Cloud Computing, Dynamic Resource Allocation, Servers, Virtualization Technology, VM placement


Cloud Computing is one of the emerging areas in the various fields related to computer science and can be exercised for on demand dynamic resource allocation for providing reliable and guaranteed services to the consumer. Cloud systems are ‘on demand’ as they offer a way of providing required resources to consumers as and when they need it. It is pay-as-you-use manner service. In Cloud systems, a pool of resources is shared by several users. So making these resources available in most optimal way is a challenging task. Cloud computing provides opportunity to dynamically scale the computing resources for applications. These resources are shared among customers using virtualization technology. Using these resources efficiently is an open challenge. Since, cloud computing consists of large number of resources, testing application and resource policies on cloud computing environment may be time consuming and difficult. To ease the problem of modeling and testing policies, we use Virtual Machine, for cloud computing environment.


Zhen Xiao, Senior Member, IEEE,Weijjia Song, and Qi Chen a ”Dynamic Resources Allocation Using Virtual Machines for Cloud Computing Environment”, IEEE Transaction on Parallel and Distributed System,vol.24,No.6,June 2013

M. Armbrust et al., “Above the Clouds: A Berkeley View of Cloud Computing,” technical report, Univ. of California, Berkeley, Feb. 2009.

C. Clark, K. Fraser, S. Hand, J.G. Hansen, E. Jul,C. Limpach, I.Pratt, and A. Warfield a “Live Migration of Virtual Machines,”Proc. Symp. Networked Systems Design and Implementation (NSDI ’05), May 2005.

C.A. Waldspurger Proposed a “Memory Resource Management in Vmware ESX Server,” Proc. Symp. Operating Systems Design and Implementation (OSDI ’02),Aug. 2002.

G. Chen, H. Wenbo, J. Liu, S. Nath, L. Rigas, L. Xiao, and F. Zhao a “Energy- Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services,” Proc. USENIX Symp. Networked Systems Design and Implementation (NSDI ’08), Apr. 2008.

Jiayin Li, Meikang Qiu, Jian-Wei Niu, Yu Chen, Zhong Ming, “Adaptive Resource Allocation for Pre-empt able Jobs in Cloud Systems,” in 10th International Conference on Intelligent System Design and Application, Jan. 2011, pp. 31-36.

Goudarzi H., Pedram M., “Multi-dimensional SLA based Resource Allocation for Multi-tier Cloud Computing Systems,” in IEEE International Conference on Cloud Computing, Sep. 2011, pp. 324-331.

Chieu T.C., Mohindra A., Karve A.A., Segal A.,“Dynamic Scaling of Web Applications in a Virtualized Cloud Computing Environment,” in IEEE International Conference on e-Business Engineering, Dec. 2009, pp. 281-286.

Prabhjot Kaur and Dr. Pankaj Deep Kaur, “Efficient and Enhanced Load Balancing Algorithms in Cloud Computing, Feb 2015

Tim abels, Puneet Dhawan, and Balasubramanian Chandrasekaran, “An Overview of Xen Virtualization” , August 2005.

Additional Files



How to Cite

Pravin Chavan, Sagar Kokare, & Srinivas Dharawath. (2016). CLOUD COMPUTING METHODOLOGY INVESTIGATION WITH DYNAMIC RESOURCE ALLOCATION. International Education and Research Journal (IERJ), 2(1). Retrieved from