An Improved Resource Allocation Technique for Cloud Environment based on Modified Spline Interpolation and Backfilled Methods

Abstract

Cloud computing is becoming one of the most growing technologies in the computing industry. Cloud technology maintains a pool of resources in one central place from where resources are shared by Cloud users through Internet. Hence efficient Resource Allocation and Job Scheduling algorithms are inevitable now-a-days in distributing cloud resources to cloud users in an effective way to increase the throughput. This research proposes four new cloud resource allocation strategies that lead to optimal usage of cloud resources to benefit both cloud users and the cloud service providers. In the first work, resources are allocated to the user based on the user requested memory, bandwidth and speed of the Virtual Machine (VM). The Least Square Approximation method is used to identify a VM with suitable set of available resources that match the user s requirements in terms of memory, bandwidth and speed of the VM. The identified resources are then allocated to the requesting users. The Iterative Interpolation Technique is used to predict suitable resources by using the line equations. A set of the line equations are produced for each parameter. Cloudsim is a simulating tool used for implementing the proposed algorithms. It provides the optimal solution for the proposed Hierarchical based Least Square Approximation method. newline