On Power-Peak-Aware Scheduling for Large-Scale Shared Clusters
On Power-Peak-Aware Scheduling for Large-Scale Shared Clusters is a scholarly work, published in 2020 in ''IEEE Transactions on Big Data''. The main subjects of the publication include grid, grid computing, scheduling, job scheduler, provisioning, Internet of things, distributed computing, big data, cloud computing, computer science, and analytics. Therefore, in this paper, authors present an optimal framework that schedules computing jobs in large-scale data analytics clusters to mitigate power peaks.