An Advanced Approach On Load Balancing in Grid Computing

TL;DR

This paper reviews various load balancing mechanisms in grid computing, highlighting their suitability for different scenarios to improve resource utilization and system performance.

Contribution

It provides an overview of different load balancing algorithms in grid computing, aiding in selecting appropriate methods for specific situations.

Findings

Different load balancing algorithms have varying effectiveness based on grid conditions.

Proper load balancing improves resource utilization and reduces response time.

The paper guides choosing suitable algorithms for diverse grid environments.

Abstract

With the rapid development in wide area networks and low cost, powerful computational resources, grid computing has gained its popularity. With the advent of grid computing, space limitations of conventional distributed systems can be overcome and underutilized computing resources at different locations around the world can be put to distributed jobs. Workload and resource management is the main key grid services at the service level of grid infrastructures, out of which load balancing in the main concern for grid developers. It has been found that load is the major problem which server faces, especially when the number of users increases. A lot of research is being done in the area of load management. This paper presents the various mechanisms of load balancing in grid computing so that the readers will get an idea of which algorithm would be suitable in different situations. Keywords: wide area network, distributed computing, load balancing.