Consolidating Batch and Transactional Workloads Using Dependency Structure Prioritization

Organizations offer efficient services to their customers through cloud. These services can either be a batch or transactional workloads. To offer a real-time service, there comes a need to schedule these workloads in an efficient way. An idea to consolidate these workloads enables us to cut down the energy consumption and infrastructure cost. It will be harder to consolidate both these workloads due to the difference in their nature, performance goals and control mechanisms. The proposed work implements the concept of Dependency Structure Prioritization (DSP) to assign priority to the job. This work tends to make effective resource utilization through reducing the number of job migration and missed deadline jobs by considering the deadline and the priority of the job as the most important evaluation factor.