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Feature Based Comparison and Selection of SDN Controller.

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Title: Feature Based Comparison and Selection of SDN Controller.
Authors: AlShehri, Mohammed Abdul Rahman, Mishra, Shailendra
Source: International Journal of Innovation & Technology Management; Aug2019, Vol. 16 Issue 5, pN.PAG-N.PAG, 23p
Subject Terms: SOFTWARE-defined networking, NETWORK performance, SOCIAL networks, PROGRAMMABLE controllers, ELECTRONIC controllers, FEATURE selection
Geographic Terms: SAUDI Arabia
Abstract: Software defined network (SDN) controller selection in SDN is a key challenge to the network administrator. In SDN, control plane is an isolated process and operate on control layer. The controller provides a universal view of the entire network and support applications and services. The three focused parameters for controller selection are productivity, campus network and open source. In SDN, it is vital to have a good device for the efficient processing of all requests made by the switch and for good behavior of the network. For selecting best controller for the specified parameters, decision logic has to be developed that allow us to do comparison of the available controllers. Therefore, in this research we have suggested a methodology that uses analytic-hierarchy-process (AHP) to find a best controller. The approach has been studied and verified for a big organization network setup of Al-Majmaah University, Saudi Arabia. The approach is found to be more effective and increase the network performance significantly. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Innovation & Technology Management is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
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  Data: Feature Based Comparison and Selection of SDN Controller.
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  Data: <searchLink fieldCode="AR" term="%22AlShehri%2C+Mohammed+Abdul+Rahman%22">AlShehri, Mohammed Abdul Rahman</searchLink><br /><searchLink fieldCode="AR" term="%22Mishra%2C+Shailendra%22">Mishra, Shailendra</searchLink>
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  Data: International Journal of Innovation & Technology Management; Aug2019, Vol. 16 Issue 5, pN.PAG-N.PAG, 23p
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  Data: <searchLink fieldCode="DE" term="%22SOFTWARE-defined+networking%22">SOFTWARE-defined networking</searchLink><br /><searchLink fieldCode="DE" term="%22NETWORK+performance%22">NETWORK performance</searchLink><br /><searchLink fieldCode="DE" term="%22SOCIAL+networks%22">SOCIAL networks</searchLink><br /><searchLink fieldCode="DE" term="%22PROGRAMMABLE+controllers%22">PROGRAMMABLE controllers</searchLink><br /><searchLink fieldCode="DE" term="%22ELECTRONIC+controllers%22">ELECTRONIC controllers</searchLink><br /><searchLink fieldCode="DE" term="%22FEATURE+selection%22">FEATURE selection</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22SAUDI+Arabia%22">SAUDI Arabia</searchLink>
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  Label: Abstract
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  Data: Software defined network (SDN) controller selection in SDN is a key challenge to the network administrator. In SDN, control plane is an isolated process and operate on control layer. The controller provides a universal view of the entire network and support applications and services. The three focused parameters for controller selection are productivity, campus network and open source. In SDN, it is vital to have a good device for the efficient processing of all requests made by the switch and for good behavior of the network. For selecting best controller for the specified parameters, decision logic has to be developed that allow us to do comparison of the available controllers. Therefore, in this research we have suggested a methodology that uses analytic-hierarchy-process (AHP) to find a best controller. The approach has been studied and verified for a big organization network setup of Al-Majmaah University, Saudi Arabia. The approach is found to be more effective and increase the network performance significantly. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Innovation & Technology Management is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1142/S0219877019500299
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 23
        StartPage: N.PAG
    Subjects:
      – SubjectFull: SAUDI Arabia
        Type: general
      – SubjectFull: SOFTWARE-defined networking
        Type: general
      – SubjectFull: NETWORK performance
        Type: general
      – SubjectFull: SOCIAL networks
        Type: general
      – SubjectFull: PROGRAMMABLE controllers
        Type: general
      – SubjectFull: ELECTRONIC controllers
        Type: general
      – SubjectFull: FEATURE selection
        Type: general
    Titles:
      – TitleFull: Feature Based Comparison and Selection of SDN Controller.
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            NameFull: AlShehri, Mohammed Abdul Rahman
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            NameFull: Mishra, Shailendra
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            – D: 01
              M: 08
              Text: Aug2019
              Type: published
              Y: 2019
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              Value: 16
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              Value: 5
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            – TitleFull: International Journal of Innovation & Technology Management
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