Dynamic Resource Management Through Task Migration in Cloud

Cloud computing allows sharing of centralized data storage, data-processing of tasks, online access to a computing resources and services. In cloud environment, one of the critical issue is resource management. Over and under utilization of resources will affect the job response time, provider’s profit and Quality of Service (QoS). In order to improve resource utilization, the computational load among distinct nodes needs to be distributed evenly. An efficient and effective scheduling method assures that all the nodes are uniformly loaded with user’s computation requests. In this paper dynamic method for task allocation and resource allocation is introduced to reduce virtual machine migrations and execution time. The proposed algorithm is simulated and results are compared with the existing algorithm.