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Content Provider | IET Digital Library |
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Author | Zhao, Jianlong Qu, Hua Zhao, Jihong Luan, Zhirong Guo, Ya |
Abstract | This Letter investigates multi-controller placement problem for software-defined network aiming at minimising the propagation latency between switches and associated controllers. Distinct from the standard clustering-based partition approaches, a modified exemplar-based clustering method based on affinity propagation is presented to address the problem. Instead of specifying beforehand the number and locations of controllers, this method can learn the optimal number and locations of controllers adaptively according to network topology. Extensive simulation results demonstrate that the proposed method can provide more stable and accurate controller placement results in terms of latency minimisation compared with k-median and k-centre methods. |
Starting Page | 928 |
Ending Page | 929 |
Page Count | 2 |
ISSN | 00135194 |
Volume Number | 53 |
e-ISSN | 1350911X |
Issue Number | Issue 14, Jul (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/53/14 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2017.0093 |
Journal | Electronics Letters |
Publisher Date | 2017-06-02 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Affinity Propagation Communication Network Design, Planning And Routing Computer Communication Computer Network And Technique Control Application in Data Transmission Controller Location Learning Minimisation Modified Exemplar-based Clustering Method Multicontroller Placement Problem Network Topology Optimisation Technique Pattern Clustering Propagation Latency Minimisation Software Defined Networking Software-defined Network Switched Mode Converter Telecommunication Control Telecommunication Network Topology |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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