Exploring Resource Provisioning Cost Models in Cloud Computing
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - October Issue 2013 by IJCTT Journal|
|Volume-4 Issue-10 |
|Year of Publication : 2013|
|Authors :P.Aradhya , K.Shivaranjani|
P.Aradhya , K.Shivaranjani "Exploring Resource Provisioning Cost Models in Cloud Computing"International Journal of Computer Trends and Technology (IJCTT),V4(10):3512-3516 October Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract:- Cloud computing services are being provided in pay per use fashion. The cloud consumers are given two ways in which they can obtain computing resources. They are on-demand and reservation plans. The reservation plan is relatively cheaper than that of on-demand. In case of reservation plan the cloud consumer has to pay money in advance. However, making reservations for computing resources in well advance has some problems to consumers and also service providers due to the optimization problem. Optimization of resource provisioning cost is essential to make is suitable for both cloud service provides and cloud service consumers. Recently Chaisiri et al. proposed an algorithm that will take care of optimized resource provisioning cost. In this paper we built a prototype application that practically implements the algorithm and various approaches for resource provisioning. The empirical results revealed that the algorithm is very useful.
 I. Foster, Y. Zhao, and S. Lu, “Cloud Computing and Grid Computing 360-Degree Compared,” Proc. Grid Computing Environments Workshop (GCE ’08), 2008.
 GoGrid, http://www.gogrid.com, 2012.
 Amazon EC2, http://aws.amazon.com/ec2, 2012.
 Z. Huang, C. He, and J. Wu, “On-Demand Service in Grid: Architecture Design, and Implementation,” Proc. 11th Int’l Conf. Parallel and Distributed Systems (ICPADS ’05), 2005.
 Y. Jie, Q. Jie, and L. Ying, “A Profile-Based Approach to Just-in- Time Scalability for Cloud Applications,” Proc. IEEE Int’l Conf. Cloud Computing (CLOUD ’09), 2009.
 Y. Kee and C. Kesselman, “Grid Resource Abstraction, Virtualization, and Provisioning for Time-Target Applications,” Proc. IEEE Int’l Symp.Cluster Computing and the Grid, 2008.
 A. Filali, A.S. Hafid, and M. Gendreau, “Adaptive Resources Provisioning for Grid Applications and Services,” Proc. IEEE Int’l Conf. Comm., 2008.
 D. Kusic and N. Kandasamy, “Risk-Aware Limited Lookahead Control for Dynamic Resource Provisioning in Enterprise Computing Systems,” Proc. IEEE Int’l Conf. Autonomic Computing, 2006.
 J. Chen, G. Soundararajan, and C. Amza, “Autonomic Provisioning of Backend Databases in Dynamic Content Web Servers,” Proc. IEEE Int’l Conf. Autonomic Computing, 2006.
 L. Grit, D. Irwin, A. Yumerefendi, and J. Chase, “Virtual Machine Hosting for Networked Clusters: Building the Foundations for Autonomic Orchestration,” Proc. IEEE Int’l Workshop Virtualization Technology in Distributed Computing, 2006.
 H.N. Van, F.D. Tran, and J.-M. Menaud, “SLA-Aware Virtual Resource Management for Cloud Infrastructures,” Proc. IEEE Ninth Int’l Conf. Computer and Information Technology, 2009.
 M. Cardosa, M.R. Korupolu, and A. Singh, “Shares and Utilities Based Power Consolidation in Virtualized Server Environments,” Proc. IFIP/IEEE 11th Int’l Conf. Symp. Integrated Network Management (IM ’09), 2009.
 F. Hermenier, X. Lorca, and J.-M. Menaud, “Entropy: A Consolidation Manager for Clusters,” Proc. ACM SIGPLAN/ SIGOPS Int’l Conf. Virtual Execution Environments (VEE ’09), 2009.
 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), pp. 119-128, May 2007.
 S. Chaisiri, B.S. Lee, and D. Niyato, “Optimal Virtual Machine Placement across Multiple Cloud Providers,” Proc. IEEE Asia- Pacific Services Computing Conf. (APSCC), 2009.
 SivadonChaisiri, Bu-Sung Lee and Dusit Niyato, “Optimization of Resource Provisioning Cost in Cloud Computing”. IEEE TRANSACTIONS ON SERVICES COMPUTING, VOL. 5, NO. 2, APRIL-JUNE 2012.
 Amazon EC2 Reserved Instances, http://aws.amazon.com/ec2/ reserved-instances, 2012.
Keywords :— Cloud computing, virtualization, resource provisioning