EFFICIENT RESOURCE SCHEDULING AND LOAD BALANCE USING IMPROVED ANT COLONY OPTIMIZATION ALGORITHM IN GRID COMPUTING

Abstract: Grid computing systems are very large scale and can be used in internet sized environments with distributed machines across multiple organizations The resource scheduling system is the central component of the grid computing system. Resources in the grid are distributed, heterogeneous and autonomous. Scheduling in the grid environment depends on the characteristics of tasks, machines, and network connectivity. The number of jobs in the waiting line is known as the load and depending on the nature of the work it can be low, moderate, or heavy. The method of load balancing involves enhancing the computational grid systems performance so that all of the grids computing nodes are uniformly employed to the greatest extent possible to reduce execution time and increase throughput.

Keywords: Grid computing, Resource, Load Balance