Dynamic resource allocation in cloud using bin-packing technique

Abstract

Cloud computing provides attractive solutions for dispatching services over the Internet. With the increase of more and more Internet users, the job of allocating the resources by the cloud providers has become a challenging task. In this paper, a new technique called Drip Based Resource Allocation (DBRA) is proposed for allocating cloud resources or Physical Machines (PMs) to the incoming jobs using the Bin-Packing technique. In this method, the fitness function is calculated for individual incoming task and resource allocation is done accordingly. This algorithm increases the overall utilization of cloud resources by handling more number of requests using less number of physical machines. The performance of this algorithm is found to be efficient when compared with First-Come-First-Serve (FCFS) and Round-Robin (RR) algorithms.