KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN

N+1 redundancy backup model was applied to controller placement problem in SDN in order to solve single node failure problem and to improve system reliability with taking system cost and latency into consideration,and the problem was abstracted as a multi-objective optimization problem. Meanwhile,an...

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Main Authors: Jingting Xu, Hua Qu, Jihong Zhao
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-06-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015153/
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author Jingting Xu
Hua Qu
Jihong Zhao
author_facet Jingting Xu
Hua Qu
Jihong Zhao
author_sort Jingting Xu
collection DOAJ
description N+1 redundancy backup model was applied to controller placement problem in SDN in order to solve single node failure problem and to improve system reliability with taking system cost and latency into consideration,and the problem was abstracted as a multi-objective optimization problem. Meanwhile,an algorithm called KMOBPSO was proposed to calculate the result of high-reliability controller placement in SDN merged with K-means clustering algorithm and genetic operators. Simulations show that the proposed algorithm who has high accuracy,uniform distribution and wide coverage of Pareto front,can significantly improve the reliability of controller placement in SDN.
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institution Kabale University
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publishDate 2015-06-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-9bf6233a1a4a4df485176073a0e2b0e32025-01-15T03:24:40ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-06-0131616759799859KMOBPSO-Based High Reliability Controller Placement Algorithm in SDNJingting XuHua QuJihong ZhaoN+1 redundancy backup model was applied to controller placement problem in SDN in order to solve single node failure problem and to improve system reliability with taking system cost and latency into consideration,and the problem was abstracted as a multi-objective optimization problem. Meanwhile,an algorithm called KMOBPSO was proposed to calculate the result of high-reliability controller placement in SDN merged with K-means clustering algorithm and genetic operators. Simulations show that the proposed algorithm who has high accuracy,uniform distribution and wide coverage of Pareto front,can significantly improve the reliability of controller placement in SDN.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015153/SDNcontroller placementN+1 redundancy backupmulti-objective optimizationK-means multi-objective binary particle swarm optimizationbinary particle swarm optimization
spellingShingle Jingting Xu
Hua Qu
Jihong Zhao
KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN
Dianxin kexue
SDN
controller placement
N+1 redundancy backup
multi-objective optimization
K-means multi-objective binary particle swarm optimization
binary particle swarm optimization
title KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN
title_full KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN
title_fullStr KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN
title_full_unstemmed KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN
title_short KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN
title_sort kmobpso based high reliability controller placement algorithm in sdn
topic SDN
controller placement
N+1 redundancy backup
multi-objective optimization
K-means multi-objective binary particle swarm optimization
binary particle swarm optimization
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015153/
work_keys_str_mv AT jingtingxu kmobpsobasedhighreliabilitycontrollerplacementalgorithminsdn
AT huaqu kmobpsobasedhighreliabilitycontrollerplacementalgorithminsdn
AT jihongzhao kmobpsobasedhighreliabilitycontrollerplacementalgorithminsdn