A REVIEW ON DIFFERENT APPROACHES FOR LOAD BALANCING IN COMPUTATIONAL GRID

In heterogeneous environment like Grid, which allow the use for geographically widely distributed and multi-owner resources to solve large-level application. So for keep maintaining the balance of workload between emerged infrastructures like grid, use of load balancing algorithms was important. Jobs are needed to be equally balanced between various computing nodes. To fully utilized the resource in heterogeneous network and increasing computation and overall improve the throughput of system is aim of load balancing algorithm. The purpose of this paper is to review various different load balancing algorithms for the heterogeneous network like grid and to identify various metric and identify gaps between them. Many load balancing algorithms are already implemented which works against various issues like heterogeneity, scalability etc. Different load balancing algorithms for the grid environment woks on various metrics such as make span, time, average resource utilization rate, communication overhead, reliability, stability, fault tolerance.