Paper Info
Title
Consolidating flows with implicit deadlines for energy-proportional data center networks
Abstract
To reduce the energy consumption of a large number of network devices in a data center, energy-efficient schemes use various heuristics to consolidate traffic to fewer switches. Most of these works, however, ignore the flow-level performance, which is one of the most critical requirements in production data centers. Hence, flow rate allocation should be considered together with flow path selection to guarantee flow-level performance and in the meantime save energy of network devices. For this reason, we present a framework to ensure that the energy consumption for data center network (DCN) is proportional to the traffic and to guarantee the flow-level performance. Our solution consists of two components: (i) flow rate allocation to meet flows' deadlines and (ii) flow path selection to use fewer switches. We compare our framework with existing techniques under synthetic traffic patterns. Results show that our framework could save, on average, 20% of network energy than the always-on baseline, while maintaining the better flow-level performance, and achieving good running time and fault tolerance simultaneously.
Year
DOI
Venue
2016
10.1109/IFIPNetworking.2016.7497217
2016 IFIP Networking Conference (IFIP Networking) and Workshops
Keywords
Field
DocType
flow consolidation,implicit deadlines,energy-proportional data center networks,energy consumption reduction,energy-efficient schemes,flow-level performance,production data centers,flow rate allocation,DCN,flow path selection,synthetic traffic pattern
Resource management,Computer science,Networking hardware,Server,Computer network,Bandwidth (signal processing),Heuristics,Fault tolerance,Data center,Energy consumption
Conference
Citations 
PageRank 
References 
0
0.34
16
Authors
5
Name
Order
Citations
PageRank
Xiaoda Zhang102.03
Zhuzhong Qian238051.27
Sheng Zhang34415.62
Kui Wu431818.44
Sanglu Lu51380144.07