PERFORMANCE EVALUATION OF JOB SCHEDULING IN HETEROGENOUS MULTI-CLUSTER SYSTEM

Heterogeneous multi-cluster system is one of the well developing fields in Computer Science and Information Technology. We propose a processor allocation job scheduling algorithm that maximizes the CPU utilizations, which consists of heterogeneous multi-cluster system. Scheduling is the most important part in multi-cluster system. Scheduling of jobs is a challenging problem in multi-cluster. Multi-cluster schedulers must not only for nodes resources allocation but also inter ?cluster network utilization. Efficient job scheduling is essential for the effective utilization of the resources. Researcher gives more importance to build a job scheduling algorithms that are well-suited. The proposed methodology depicts the concept of clustering the jobs based on arrival time. During the time of scheduling the traditional methods such as First Come First Serve, The proposed method overcome this problem and reduces the within the process . The fact-finding is made on evolving an Adaptive Scheduling Policy for Non-dedicated Heterogeneous multi-cluster system. This adaptive scheduling policy which will raises the performance of multi-cluster compared to existing policies Multi-cluster are systems are used now a days to get high performance and higher system utilizations. In this paper, we propose a scheduling technique that schedules moldable jobs in such a heterogeneous system i.e. based on Adaptive Scheduling Policy for Heterogeneous Multi-cluster system. The scheduling process integrates the techniques of job selection, site selection and processor selection into single algorithm with the objectives of improving mean response time and utilization in a heterogeneous Multi-cluster system. Resource fragmentation and speed Heterogeneity is two major factors that affect the overall performance of the system. Furthermore, the performance of the proposed algorithm approach dealing with Multi-site execution is compared with the case of Multi-pool configuration. In this paper we produces the value of different parameters to make effective scheduling by job co-allocation in a multi-cluster system, to study the effect of parameters, calculate waiting time, co-allocation time, response time.