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Research Article Open Access
Resources are dynamic in nature so the load of resources varies with change in Configuration of cloud so the Load Balancing of the tasks in a cloud environment can significantly influence cloud’s performance. A poor scheduling policy may leave many processors idle while a clever one may consume an unduly large portion of the total CPU cycles. In the existing approach we face overhead issue of distributed dispatching of task to resource. In our proposed system our main goal of load balancing is to provide a distributed, low cost, scheme that balances the load across all the processors. To improve the global throughput of cloud resources, effective and efficient load balancing algorithms are fundamentally important. Various strategies, algorithms and policies have been proposed, implemented and classified for implementing Load balancing in Cloud computing environment. In this paper, we present a combination of algorithm called ACBLA with queue algorithm applied to efficiently schedule computation jobs among processing resources onto the cloud datacenters with less communication overhead.
Load Balancing, Communication overhead, Resource Allocation, ACBLA, Scientific Computing