A Demand Based Resource Provisioner for Cloud Infrastructure

Abstract

Resource management in cloud environment poses unique challenges. Resources, in the form of virtual machines (VM) are to be provisioned on the fly while using the underlying infrastructure efficiently and still meeting the performance parameters. This involves collecting system resource statistics for decision making by other components of cloud environment. In this paper, the process of resource (VM) management in the cloud is mapped to demand based system wherein the VMs that require additional resources or need to relinquish their resources send requests to a centralized controller. Further, since resources are limited, dynamic resource allocation forms a classical optimization problem. This paper proposes a one-dimensional knapsack optimization solved using dynamic programming, to achieve efficient resource allocation. The performance of the proposed algorithm has been compared with brute force algorithm. © Springer International Publishing Switzerland 2014.