Title :
Distributed Flow Scheduling in Energy-Aware Data Center Networks
Author :
Ruoyan Liu ; Huaxi Gu ; Xiaoshan Yu ; Xiumei Nian
Author_Institution :
State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´an, China
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.
Keywords :
computer centres; computer network reliability; resource allocation; scheduling; telecommunication network topology; telecommunication traffic; DFS; distributed flow scheduling; energy-aware DCN; energy-aware data center networks; irregular topology; load balancing; network devices; traffic flows; Bandwidth; Network topology; Processor scheduling; Routing; Scalability; Servers; Topology; Data center networks; distributed flow scheduling; energy-aware DCN;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2013.022213.122757