TY - GEN
T1 - Consolidating flows with implicit deadlines for energy-proportional data center networks
AU - Zhang, Xiaoda
AU - Qian, Zhuzhong
AU - Zhang, Sheng
AU - Wu, Kui
AU - Lu, Sanglu
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2016/6/21
Y1 - 2016/6/21
N2 - 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. © 2016 IFIP.
AB - 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. © 2016 IFIP.
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84982262048&origin=recordpage
U2 - 10.1109/IFIPNetworking.2016.7497217
DO - 10.1109/IFIPNetworking.2016.7497217
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9783901882838
T3 - 2016 IFIP Networking Conference (IFIP Networking) and Workshops, IFIP Networking 2016
SP - 279
EP - 287
BT - 2016 IFIP Networking Conference (IFIP Networking) and Workshops, IFIP Networking 2016
PB - IEEE
T2 - 2016 IFIP Networking Conference (IFIP Networking) and Workshops, IFIP Networking 2016
Y2 - 17 May 2016 through 19 May 2016
ER -