Dynamic Resource Allocation using Virtual Machines for Cloud Computing Environment
Seematai S. Patil1, Koganti Bhavani2
1Miss. Seematai S. Patil, Department of CSE, JNT University, TRR COE, Hyderabad, India.
2Mrs. Koganti Bhavani, Department of CSE, JNT University, TRR COE, Hyderabad, India.
Manuscript received on July 23, 2014. | Revised Manuscript received on August 06, 2014. | Manuscript published on August 30, 2014. | PP: 218-212 | Volume-3 Issue-6, August 2014. | Retrieval Number: F3393083614/2013©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing allows 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.
Keywords: Cloud computing, Green computing, Resource, Skewness, Virtual machine.