An Efficient Energy Scheduling Algorithm for Workflow Tasks in Hybrids and DVFS-Enabled Cloud Environment

The explosive growth of energy consumption in cloud centers has become a critical issue, for going against the advocated green computing, many works focus the tasks scheduling for reducing energy dissipation. In order to obtain more energy reduction as well as maintaining the quality of service by meeting the deadlines, this paper proposes a DVFS-enabled efficient energy workflow task scheduling algorithm: DEWTS. Through merging the relatively inefficient processors byreclaiming the slack time, DEWTS can take advantage of the useful slack time once again employing DVFS technique after severs merged. Based on amount of randomly generated DAGs workflows, the experimental results show that DEWTS can reduce the total power consumption with various parallel applications as well as balancing the scheduling performance.