Dynamic Resource Provisioning for Deadline and Budget Constrained Application in Cloud Environment
Due to missing deadlines, the jobs are being rejected. The rejection rate increases. The authors want to propose on-demand provisioning in order to maintain QoS they need to give extra resource to the job. Mapping performance requirements to the underlying resources in the cloud is challenging. Resource under-provisioning will inevitably hurt performance and resource over-provisioning can result in idle instances, thereby incurring unnecessary costs. There is an increasing demand to efficient management of large-scale application under cost and deadline constrained.