Coordinator based advanced reservation and ranking for cloud resources

Abstract

In order to provide the user's quality of service, the service level agreement between the customers and providers should be satisfied. However the resources available in a single datacenter are limited. Thus if a large demand is observed in a given time, a cloud provider is not able to deliver a uniform QoS. To avoid this scenario, I enable the application to scale it across multiple independent cloud datacenters by forming federated clouds. In such a case, from the customer's point of view it is always difficult to decide whose resources they should use. To handle this case a ranking mechanism is proposed which measures the quality and prioritize the cloud resources. In this work I propose a framework and mechanism for coordinator based advance reservation and ranking of cloud resources which allows the users to book resource in advance. Advance reservation provides guaranteed delivery of resources to the right customers at the right time.