混合SDN网络中的能源节约与流量优化策略

Shang Cheng; Xinli Huang; Peng Shi

doi:10.3772/j.issn.1002-0470.2018.06.005

混合SDN网络中的能源节约与流量优化策略

Translated title of the contribution: Energy-saving and traffic engineering in hybrid SDN

Shang Cheng
, Xinli Huang^*
, Peng Shi

^*Corresponding author for this work

School of Computer Science and Technology

East China Normal University

Research output: Contribution to journal › Article › peer-review

Abstract

Aiming at the problem of energy saving and flow optimization in the hybrid software defined network(SDN), the location selection and link behavior optimization of the SDN switch are designed and implemented. Under the premise of ensuring the correct forwarding of the packet and limiting the maximum link utilization rate, and based on the improved genetic algorithm and greedy algorithm, we optimize the deployment plan of the SDN switch, define its splitting ratio of traffic, close some invalid links, adjust the maximum load of links, and ultimately reduce the energy consumption of links.

Translated title of the contribution	Energy-saving and traffic engineering in hybrid SDN
Original language	Chinese (Traditional)
Pages (from-to)	520-527
Number of pages	8
Journal	Gaojishu Tongxin/Chinese High Technology Letters
Volume	28
Issue number	6
DOIs	https://doi.org/10.3772/j.issn.1002-0470.2018.06.005
State	Published - 1 Jun 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.3772/j.issn.1002-0470.2018.06.005

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abstract = "Aiming at the problem of energy saving and flow optimization in the hybrid software defined network(SDN), the location selection and link behavior optimization of the SDN switch are designed and implemented. Under the premise of ensuring the correct forwarding of the packet and limiting the maximum link utilization rate, and based on the improved genetic algorithm and greedy algorithm, we optimize the deployment plan of the SDN switch, define its splitting ratio of traffic, close some invalid links, adjust the maximum load of links, and ultimately reduce the energy consumption of links.",

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N2 - Aiming at the problem of energy saving and flow optimization in the hybrid software defined network(SDN), the location selection and link behavior optimization of the SDN switch are designed and implemented. Under the premise of ensuring the correct forwarding of the packet and limiting the maximum link utilization rate, and based on the improved genetic algorithm and greedy algorithm, we optimize the deployment plan of the SDN switch, define its splitting ratio of traffic, close some invalid links, adjust the maximum load of links, and ultimately reduce the energy consumption of links.

AB - Aiming at the problem of energy saving and flow optimization in the hybrid software defined network(SDN), the location selection and link behavior optimization of the SDN switch are designed and implemented. Under the premise of ensuring the correct forwarding of the packet and limiting the maximum link utilization rate, and based on the improved genetic algorithm and greedy algorithm, we optimize the deployment plan of the SDN switch, define its splitting ratio of traffic, close some invalid links, adjust the maximum load of links, and ultimately reduce the energy consumption of links.

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KW - Hybrid SDN network

KW - Load balancing

KW - Software defined network

KW - Traffic engineering

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ER -

混合SDN网络中的能源节约与流量优化策略

Abstract

UN SDGs

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