Resource Reallocation Based on SLA Requirement in Cloud Environment

Abstract

Service Level Agreement (SLA) in cloud service provides quality and responsibility for both Datacenter providers and customers. If a customer's required task is processed delayed then penalty of SLA violation are generated due to this shortage of resource allocation. The virtual machines (VMs) in lower utilization host or over utilization host will be migrated to the suitable hosts in an attempt to reduce delays in task processing and avoid SLA violation. Control chart is applied for monitoring the host performance form utilization perspective. We propose a mechanism to evaluate resource reallocation and identify which of these VMs can match an appropriate host based on economic of the cost and SLA violation penalty. The proposed approach is applied on a case study in which tasks are submitted sequentially by the constant schedule interval and cloud resource allocation is constantly gets evaluated.