GDSim: Benchmarking Geo-Distributed Data Center Schedulers

Abstract

As cloud providers scale up their data centers and distribute them around the world to meet demand, proposing new job schedulers that take into account data center geographical distribution have been receiving considerable attention from the data center management research and practitioner community. However, testing and benchmarking new schedulers for geo-distributed data centers is complicated by the lack of a common, easily extensible experimental platform. To address this gap, we propose GDSim, an open-source job scheduling simulation environment for geo-distributed data centers that aims at facilitating development, testing, and evaluation of new geo-distributed schedulers. We showcase GDSim by using it to reproduce experiments and results for recently proposed geodistributed job schedulers, as well as testing those schedulers under new conditions which can reveal trends that have not been previously uncovered.