Grid computing systems are distributed systems that involve coordinate and involvement of heterogeneous resources with various characteristics where user jobs can be executed on either local or remote computer. These heterogeneous computing resources are used to run highly complex programs that require very high processing power. The main benefit of this idea was to decrease the amount of messages exchanged between Grid resources. We proposed a scheduling algorithm that manages the resources to improve the utilization of resource and minimize the job response time in computational grid system. So that no any resources will be heavily, low loaded or in some case will be in idle. We have realized a significant improvement in mean response time with a reduction of communication cost.