Effective load balancing for grid computing using grid control system

Abstract

Grid Computing is a growing technology which is one of the High Performance Computing branches used for solving complex problems Grid computing has a similar architecture to distributed computing and cloud computing It is differentiated from other distributed computing paradigms by the following characteristics the essence of grid computing lies in the efficient and optimal utilization of a wide range of heterogeneous loosely coupled resources in an organization tied to a sophisticated workload management capabilities or information virtualization It is a virtualized distributed computing environment which aims at enabling the dynamic runtime selection sharing and aggregation of distributed autonomous resources based on the availability capability and performance There are many issues in using grid computing How to appropriately and efficiently assign resources to tasks generally called job scheduling is one of the important issues The main purpose of job scheduling is to shorten the job completion time and enhance the system throughput A grid scheduling system should take the various characteristics of grid applications and resources into account In a grid environment the resource providers and tasks are all changing constantly So the traditional scheduling algorithms e g First Come First Serve may not be suitable for a dynamic grid system It is very important to assign appropriate resources to tasks Through a good scheduling method the system can perform better and applications can avoid unnecessary delays