Fast and Consistent Flow Update in Software Defined Network

Jiugen SHI; Xu YANG; Yali LIU; Li SUN

doi:10.11999/JEIT200231

Volume 43 Issue 9

Sep. 2021

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Jiugen SHI, Xu YANG, Yali LIU, Li SUN. Fast and Consistent Flow Update in Software Defined Network[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2617-2623. doi: 10.11999/JEIT200231

Citation:

Jiugen SHI, Xu YANG, Yali LIU, Li SUN. Fast and Consistent Flow Update in Software Defined Network[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2617-2623. doi: 10.11999/JEIT200231

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Fast and Consistent Flow Update in Software Defined Network

doi: 10.11999/JEIT200231

School of Computer and Information, Hefei University of Technology, Hefei 230009, China

Funds: The National Major Scientific Instruments Development Project (2013YQ030595)

Received Date: 2020-04-03
Rev Recd Date: 2020-09-22

Available Online: 2021-08-09

Publish Date: 2021-09-16

Abstract

Abstract

In Software Defined Networks (SDN), in order to meet various network performance optimization goals, the control plane needs to frequently update the data plane. However, due to the asynchronous nature of the data plane, unreasonable updates will severely degrade network performance. To address this issue, a Fast and Consistent Flow Update (FCFU) strategy is proposed, which weakens the original strong dependency through flow segmentations and enables parallel updates. By analyzing the dependency relationship between sub-flow segments and multiple resources, the update schedule with less numbers of rounds is obtained. Finally, consistent flow update is achieved based on the delay queue. Experimental results show that, compared with the existing flow update algorithms, this strategy can shorten the total completion time of flow update by 20.6%, while ensuring that no congestion and packet reordering occur during the update period.
- Software Defined Network (SDN),
- Flow update,
- Consistent update,
- Congestion-free,
- Packet reordering

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References(17)

References

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