Provably-Efficient Job Scheduling for Energy and Fairness in Geographically Distributed Data Centers
Decreasing the soaring energy cost is imperative in large data centers. Meanwhile, limited computational resources need to be fairly allocated among different organizations. Latency is another major concern for resource management. Nevertheless, energy cost, resource allocation fairness, and latency are important but often contradicting metrics on scheduling data center workloads. In this paper, the authors explore the benefit of electricity price variations across time and locations. They study the problem of scheduling batch jobs, which originate from multiple organizations/ users and are scheduled to multiple geographically-distributed data centers.