Distributed Flow Scheduling in Energy-Aware Data Center Networks

Abstract

Recently, the strategy of powering off unneeded network devices is proposed for energy-aware data center networks (DCNs). However, efficient flow scheduling is required for balancing the load of numerous traffic flows in the irregular topologies. In this paper, we propose distributed flow scheduling (DFS) for energy-aware DCNs. DFS leverages multiple distributed schedulers and schedules elephant flows to suitable routes. Compared with previous solutions, DFS achieves ideal network performance with better scalability and efficiency. Finally, the evaluations demonstrate that DFS is a feasible system to be implemented in energy-aware DCNs.