English

Abstract

Cloud computing is a phenomenon which bestows new model of computing. It has various service modes. The service model which provides on-demand access to computing resources is known as infrastructure-as- a-service (IaaS). The IaaS allows cloud users to access resources in pay per use fashion. The problem with this service model in the existing solutions is that the cloud provider may either overprovision the resources or not in a position to serve large number of requests. At any given time, all users might not need on-demand access. Keeping this in mind a strategy is required in order to optimize resource allocation. Many applications exists that take care of high-throughput computing (HTC) where more resources are expected to be allocated. For instance Condor is such application that assigns available resource to jobs and then the resources are released once job is completed. Recently Marshall et al. proposed cloud infrastructure that has provision for on-demand allocation of resources using backfill virtual machines. For this purpose Nimbus is used. In this paper we have implemented the concept of optimal resource allocation using the notion of HTC users and on-demand users. We built a prototype application that demonstrates the proof of concept. The empirical results are encouraging.