A Scalable Traffic Scheduling Policy for Software Defined Data Center Network

YI Peng; LIU Hong; HU Yuxiang

doi:10.11999/JEIT160623

Volume 39 Issue 4

Apr. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(4): 825-831

YI Peng, LIU Hong, HU Yuxiang. A Scalable Traffic Scheduling Policy for Software Defined Data Center Network[J]. Journal of Electronics & Information Technology, 2017, 39(4): 825-831. doi: 10.11999/JEIT160623

Citation:

YI Peng, LIU Hong, HU Yuxiang. A Scalable Traffic Scheduling Policy for Software Defined Data Center Network[J]. Journal of Electronics & Information Technology, 2017, 39(4): 825-831. doi: 10.11999/JEIT160623

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A Scalable Traffic Scheduling Policy for Software Defined Data Center Network

doi: 10.11999/JEIT160623

Funds:

The National Natural Science Foundation of China (61521003, 61572519, 61502530, 61672471)

Received Date: 2016-06-12
Rev Recd Date: 2016-12-28
Publish Date: 2017-04-19

Abstract

Abstract

According to the low scalability of current large-scale software defined data center network traffic routing mechanism which causes network performance bottleneck, this paper proposes a data center network Segment Routing (SR) mechanism based on OpenFlow. The mechanism distinguishes the size of the flow by making use of edge switches to conduct a data stream threshold test. In order to meet the QoS guarantee and network scalability requirements of different services, this paper proposes a segment routing algorithm for elephant flow.Finally, Mininet is utilized for experiment simulation on Fat-tree topology. Compared to the traditional ECMP algorithm and Mahout algorithm, simulation results show that the mechanism reduces the overhead of controller, and has better network throughout.
- Software Defined Network (SDN),
- Data Center Networks (DCN),
- Segment Routing (SR),
- Traffic scheduling,
- ECMP algorithm

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References(19)

References

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