for Cloud Computing Environments

In cloud computing, cloud providers can offer cloud consumers two provisioning plans for computing resources, formal reservation and on-demand plans. Usually, cost of utilizing computing resources provisioned by reservation plan is cheaper than that provisioned by ondemand plan, since cloud consumer has to pay to provider in advance. With the reservation plan(Local Adjustment), the consumer can reduce the total resource provisioning cost. However, the optimal reservation of resources is difficult to be achieved due to fluctuation of consumer’s future demand and providers’ resource prices. So we propose a framework to improve their profits by maximizing the resource utilization and reducing the reconfiguration costs. Then a two-step runtime reconfiguration strategy. The SLA algorithm can provide computing resources for being used in multiple provisioning stages as well as a long-term plan(Global Adjustment), The Service Level Agreement (SLA) based scheduling approach promotes cooperative resource sharing. In this paper, minimizing both under provisioning and over provisioning problems under the demand and price uncertainty in cloud computing environments is our motivation to explore a resource provisioning strategy for cloud consumers. the results show that our framework is effective for maximizing the resource utilization and reducing the costs of the runtime reconfiguration.