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

Shang Cheng
, Xinli Huang^*
, Peng Shi

^*此作品的通讯作者

计算机科学与技术学院

East China Normal University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

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.

投稿的翻译标题	Energy-saving and traffic engineering in hybrid SDN
源语言	繁体中文
页（从-至）	520-527
页数	8
期刊	Gaojishu Tongxin/Chinese High Technology Letters
卷	28
期	6
DOI	https://doi.org/10.3772/j.issn.1002-0470.2018.06.005
出版状态	已出版 - 1 6月 2018

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

关键词

Genetic algorithm
Hybrid SDN network
Load balancing
Software defined network
Traffic engineering

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10.3772/j.issn.1002-0470.2018.06.005

其它文件与链接

链接到 Scopus 的出版物

引用此

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Y1 - 2018/6/1

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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DO - 10.3772/j.issn.1002-0470.2018.06.005

M3 - 文章

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SN - 1002-0470

VL - 28

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JO - Gaojishu Tongxin/Chinese High Technology Letters

JF - Gaojishu Tongxin/Chinese High Technology Letters

IS - 6

ER -

混合SDN网络中的能源节约与流量优化策略

摘要

联合国可持续发展目标

关键词

访问文件

其它文件与链接

指纹

引用此