An econometric based model for resource scarcity problem in Cloud computing

Resource provisioning in Cloud computing is an important problem as the resources are scarce. Better utilization of the existing unutilized resources may solve the future resource scarcity problem. To decide, how much percentage of unutilized allocated resources the Cloud manager can take back to solve the problem of scarcity of resource in future, an econometric model of distributive justice is identified and mapped to resource redistribution in Cloud computing. The proposed model uses a Probit model to get the value of coefficient which helps to determine the percentage of unutilized allocated resources to be taken back. Data is increasing at the enormous rate warranting mass storage. Thus, Cloud storage has been considered an important scarce resource. The proposed model focuses on the Cloud storage as a resource. It is assumed that service provider must reserve certain amount of resource to accept sharply increased resource request. The proposed model also identifies this constraint and proposes a model of distributive justice that addresses this. Experimental results reveal the efficacy of the proposed model.