Recitation Of Load Balancing Algorithms In Grid Computing Environment Using Policies And Strategies - An Approach
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| Author(s) |
|M.Kamarunisha, S.Ranichandra, T.K.P.Rajagopal|
| KEYWORDS |
Recitation of Load Balancing Algorithms, Grid Computing Environment
Grid computing is a term referring to the combination of computer resources from multiple administrative domains to reach common goal. What distinguishes grid computing from conventional high performance computing systems such as cluster computing is that grids tend to be more loosely coupled, heterogeneous, and geographically dispersed. Grid computing is the next generation IT infrastructure that promises to transform the way organizations and individuals compute, communicate and collaborate. The goal of Grid computing is to create the illusion of a simple but large and powerful self-managing virtual computer out of a large collection of connected heterogeneous systems sharing various combinations of resources. Grid Resource Management is defined as the process of identifying requirements, matching resources to applications, allocating those resources, and scheduling and monitoring Grid resources over time in order to run Grid applications as efficiently as possible. Focus of this paper is on analyzing Load balancing requirements in a Grid environment and proposing a centralized and sender initiated load balancing algorithm. A load balancing algorithm has been implemented and tested in a simulated Grid environment.
 Krishnaram Kenthapadi, Stanford University ,
email@example.com and Gurmeet Singh Mankuy , Google
Inc., firstname.lastname@example.org,Decentralized Algorithms using
both Local and Random Probes for P2P Load Balancing.
 Ian Foster , Carl Kesselman Steven Tuecke , The
Anatomy of the Grid Enabling Scalable Virtual
Organizations , Intl J. Supercomputer Applications, 2001.
 Francois Grey, Matti Heikkurinen, Rosy Mondardini,
Robindra Prabhu, “Brief History of Grid”,
Marcin Bienkowski, Miroslaw Korzeniowski, Friedhelm
Meyer aud der Heide,Dynamic Load Balancing in
Distributed Hash Tables.
Giuseppe Di Fatta and Michael R. Berthold, Department
of Computer and Information Science, University of
Konstanz, Decentralized Load Balancing for Highly
Irregular Search Problems.
Anthony Sulistio, Chee Shin Yeo, and Rajkumar Buyya,
Visual Modeler for Grid Modeling and Simulation