Capacity Predictor with Varying Pricing Scheme and Interoperablity Decision in a Bursting Situation for Cloud Computing Environemnt

The usage of the cloud computing services is increasing rapidly across all the domains, thereby inducing the cloud service providers to increase their underlying cloud resource capacity. If service providers keep on increasing the capacity, it may not be an optimal utilization of resources. Since one of the main characteristics of cloud is optimal utilization of resources, we provide an analysis method, to aid both cloud service provider and cloud service consumer that both are benefitted from the cloud. Our first approach is to determine whether the resource request from user and actual usage is over provisioned or under provisioned or optimally provisioned. Based on the usage pattern, we propose a capacity predictor for service providers, that for a specified period of time, the predicted capacity requirement for his entire cloud. This helps the administrators to make a decision among the options of whether to augmenting more resources into cloud, fetching resources from other cloud, migrating workload into other cloud. Along with this decision, we also propose a dynamic pricing scheme that the service cost pattern varies based on the demand and supply. The pricing scheme should be beneficial to both the service providers and service consumers. Our approach ensures optimal utilization of resources with increased service usage with available resources.