An efficient resource allocation (ERA) mechanism in Iaas cloud

Abstract

Cloud computing allows consumers to use the applications as remote with internet access as pay per use. Resource Allocation is one of the most challenging tasks in cloud since it depends on dynamicity of resource providers and heterogeneous user request. To efficiently allocate the user request in a resource, Efficient Resource Allocation (ERA) is proposed. Hence, in the proposed efficient resource allocation mechanism, Job Centric Cosine Similarity based K-Means ( JCC K-Means) is used to cluster the resources dynamically based on user request and improved branch and bound based assignment algorithm is used for efficient allocation of cloud resources to user request. The proposed work is simulated and compared with K-means and Random Allocation. The simulation is carried out in Java using Eclipse IDE The simulation results shows that the proposed work achieves better result in terms of efficient resource discovery, makespan and user satisfaction.