Resource allocation strategies used in cloud computing: A critical analysis

The revolution in utility computing paradigm is brought by Cloud computing which replaces the traditional software installation. The cloud computing service models are basically classified into three parts i.e. software as a service (Saas), Platform as a service (Paas) and Infrastructure as a service (Iaas). There are four deployment models followed by Cloud computing i.e. Public Cloud, Private Cloud, Hybrid Cloud and Community Cloud. The proposed system comes under the Iaas which provides memory and processor as a resource. Every user wanted to get the services of cloud as they submit the job immediately. In this situation the allocation of resource at real time is a challenging issue. Cloud services are efficiently and optimally allocated to satisfy the requirements of customer. The focus of this paper is detailed and comparative study on different resource allocation strategies by preserving the service level agreement (SLA). The paper brief the algorithms used by the cloud service provider to allocate resources when the multiple jobs arrive with different burst time and different resource requirement.

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