A Study on the Assessment of Load Balancing Algorithms in Grid Based Network
Sachin Kumar1, Niraj Singha2
1Sachin Kumar, Senior Lecturer, Department of Computer Science & Engineering, Hermes College of Engineering & Management (Guru Nanak Education Trust’s Group of Institutions), Roorkee, Uttrakhand, (India).
2**Niraj Singhal, Assistant Professor, Faculty of Electronics, Informatics and Computer Engineering, Shobhit University, Meerut., Uttar Pradesh (India),
Manuscript received on February 15, 2012. | Revised Manuscript received on February 20, 2012. | Manuscript published on March 05, 2012. | PP: 402-405 | Volume-2 Issue-1, March 2012. | Retrieval Number: A0462022112/2012©BEIESP
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© The Authors. Published By: 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: Grid computing comprises of distributed computer systems which are geographically dispersed to share the combination of resources in a heterogeneous environment. The ever varying and increasing demands of the computational resources have generated the need for solutions that are more flexible. With the use of a high tech computer that has more and faster processors and auxiliary storage space or more RAM (random access memory), it is not well enough for a solution as the system usage patterns differ. A grid based distributed system can solve this problem by allowing multiple independent jobs to run over a network with heterogeneous computing nodes. A network-aware load balancing algorithms that are dynamic as well as quick are the requirement of a network of computers to keep the workload balanced, represented by these jobs. The purpose of this paper is to review various different load balancing algorithms for the grid based distributed network, identify several comparison metrics for the load balancing algorithms and to carry out the comparison based on these identified metrics between them.
Keywords: Dynamic load balancing algorithms; grid based distributed network; comparison metrics; Heterogeneous node; Load Balancing Policy