Strategy for Dynamic Database Resource Sharing In Cloud Computing Environment
Anjula Balmiki , Sarsij Tripathi
Abstract
In the past few years cloud computing has emerged as a popular computing model to support large amount of data. Cloud computing is featured by powerful computing capabilities. However, the resource allocation puts forward new challenges. A highly efficient database resource allocation scheme is of great significance in parallel processing of cloud computing. In this paper, we propose a novel dynamic resource allocation algorithm with cooperation strategy to handle the load within the cloud between resources. We first model and analyze the resource allocation problem. We introduce a heuristic information-based algorithm with the cooperation of all the computing nodes. We analyze the algorithm and also evaluate its performance by simulation experiments. The experiment results indicate that our algorithm conducts resource allocation fast and effectively, achieving superior performance as well
Cloud computing, database sharing, data storage, first come first serve
[1] Google. Google base. http://www.google.com/base.
[2]Weiss, Computing in the Clouds, networker 11 (4) (2007) 16 25.
[3] Subasish Mohapatraet. al. A Comparison of Four Popular Heuristics for Load Balancing of Virtual Machines in Cloud Computing. In,International Journal of Computer Applications, Volume 68– No.6, April 2013.
[4] C. Jin, R. Buyya, Map Reduce programming model for .NETbased distributed computing, Technical Report GRIDS-TR-2008- 15, Grid Computing and Distributed Systems Laboratory, The University of Melbourne, Australia, 17 Oct. 2008.
[5] Jaspreet kaur, “Comparison of load balancing algorithms in a Cloud,” in, International Journal of Engineering Research and Applications Vol. 2, Issue 3, May-Jun 2012 pp.1169-1173.
[6] Tanvee Ahmed, Yogendra Singh “Analytic Study Of Load Balancing Techniques Using Tool Cloud Analyst” . International Journal of Engineering Research and Applications. pp.1027-1030, 2012.
[7] Bhaskar. R, et. al. “Dynamic Allocation Method for Efficient Load Balancing In Virtual Machines for Cloud Computing Environment” September 2012.
[8] S. Milojicic, et. al. Peer-to-peer computing, Technical Report HPL-2002-57R1, HP Laboratories, Palo Alto, USA, 3 July 2003.
[9] Jianzong wnag et. al. Middle ware enabled data sharing on cloud storage services.
[10] Google. Google base. http://www.google.com/base.
[11] Roxana geambasu et. al.Cloud views: Communal Data Sharing in public Cloud”.
[12] Bhasker Prasad Rimal et. al. “A Taxonomy and Survey of Cloud Computing Systems”, Fifth International Joint Conference on INC and IDC, 2009.
[Anjula Balmiki, Sarsij Tripathi (2014), Strategy for Dynamic Database Resource Sharing In Cloud Computing Environment, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-2, Issue-6, Page No-69-71], (ISSN 2347 - 5552). www.ijircst.org
Anjula Balmiki
Computer Science Department IFTM University, Moradabad, Uttar Pradesh, India.
