Analytical Modeling of End-to-End Delay in OpenFlow Based Networks

OpenFlow enabled networks split and separate the data and control planes of traditional networks. This design commodifies network switches and enables centralized control of the network. Control decisions are made by an OpenFlow controller, and locally cached by switches, as directed by controllers....

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Main Authors: Azeem Iqbal, Uzzam Javed, Saad Saleh, Jongwon Kim, Jalal S. Alowibdi, Muhammad Usman Ilyas
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7776815/
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author Azeem Iqbal
Uzzam Javed
Saad Saleh
Jongwon Kim
Jalal S. Alowibdi
Muhammad Usman Ilyas
author_facet Azeem Iqbal
Uzzam Javed
Saad Saleh
Jongwon Kim
Jalal S. Alowibdi
Muhammad Usman Ilyas
author_sort Azeem Iqbal
collection DOAJ
description OpenFlow enabled networks split and separate the data and control planes of traditional networks. This design commodifies network switches and enables centralized control of the network. Control decisions are made by an OpenFlow controller, and locally cached by switches, as directed by controllers. This can significantly impact the forwarding delay incurred by packets in switches, because controllers are not necessarily co-located with switches. Only very few studies have been conducted to evaluate the performance of OpenFlow in terms of end-to-end delay. In this paper, we develop a stochastic model for the end to end delay in OpenFlow switches based on measurements made in Internet-scale experiments performed on three different platforms, i.e., Mininet, the GENI testbed, and the OF@TEIN testbed.
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spelling doaj.art-8f995174450f4b62b21645a1fc43217f2022-12-21T23:27:27ZengIEEEIEEE Access2169-35362017-01-0156859687110.1109/ACCESS.2016.26362477776815Analytical Modeling of End-to-End Delay in OpenFlow Based NetworksAzeem Iqbal0Uzzam Javed1Saad Saleh2Jongwon Kim3Jalal S. Alowibdi4Muhammad Usman Ilyas5https://orcid.org/0000-0003-0308-4361National University of Sciences and Technology, Islamabad, PakistanNational University of Sciences and Technology, Islamabad, PakistanNational University of Sciences and Technology, Islamabad, PakistanSchool of Information and Communications, Gwangju Institute of Science and Technology, 123, Cheomdangwagi-ro, Buk-gu, Gwangju, Republic of KoreaDepartment of Computer Science, University of Jeddah, Dhahban, Saudi ArabiaNational University of Sciences and Technology, Islamabad, PakistanOpenFlow enabled networks split and separate the data and control planes of traditional networks. This design commodifies network switches and enables centralized control of the network. Control decisions are made by an OpenFlow controller, and locally cached by switches, as directed by controllers. This can significantly impact the forwarding delay incurred by packets in switches, because controllers are not necessarily co-located with switches. Only very few studies have been conducted to evaluate the performance of OpenFlow in terms of end-to-end delay. In this paper, we develop a stochastic model for the end to end delay in OpenFlow switches based on measurements made in Internet-scale experiments performed on three different platforms, i.e., Mininet, the GENI testbed, and the OF@TEIN testbed.https://ieeexplore.ieee.org/document/7776815/Openflowstochastic modelingend-to-end delayMininetGENIOF@TEIN
spellingShingle Azeem Iqbal
Uzzam Javed
Saad Saleh
Jongwon Kim
Jalal S. Alowibdi
Muhammad Usman Ilyas
Analytical Modeling of End-to-End Delay in OpenFlow Based Networks
IEEE Access
Openflow
stochastic modeling
end-to-end delay
Mininet
GENI
OF@TEIN
title Analytical Modeling of End-to-End Delay in OpenFlow Based Networks
title_full Analytical Modeling of End-to-End Delay in OpenFlow Based Networks
title_fullStr Analytical Modeling of End-to-End Delay in OpenFlow Based Networks
title_full_unstemmed Analytical Modeling of End-to-End Delay in OpenFlow Based Networks
title_short Analytical Modeling of End-to-End Delay in OpenFlow Based Networks
title_sort analytical modeling of end to end delay in openflow based networks
topic Openflow
stochastic modeling
end-to-end delay
Mininet
GENI
OF@TEIN
url https://ieeexplore.ieee.org/document/7776815/
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AT jongwonkim analyticalmodelingofendtoenddelayinopenflowbasednetworks
AT jalalsalowibdi analyticalmodelingofendtoenddelayinopenflowbasednetworks
AT muhammadusmanilyas analyticalmodelingofendtoenddelayinopenflowbasednetworks