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Performance evaluation of flowtable eviction mechanisms for software defined networks considering traffic flows variabilities

Software Defined Networks (SDN) is a new paradigm that emerged to improve network management through separation of control from the data plane using a standardized protocol. OpenFlow is the most popular standard to achieve the benefit of SDN. For every arrived flow, a corresponding flow entry is ins...

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Main Authors: Isyaku, Babangida, Abu Bakar, Kamalrulnizam, Ghaleb, Fuad A., Sulaiman, Sapiah
Format: Conference or Workshop Item
Published: 2022
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/99396/
http://dx.doi.org/10.1109/ISCAIE54458.2022.9794547
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spelling my.utm.993962023-02-23T04:34:55Z http://eprints.utm.my/id/eprint/99396/ Performance evaluation of flowtable eviction mechanisms for software defined networks considering traffic flows variabilities Isyaku, Babangida Abu Bakar, Kamalrulnizam Ghaleb, Fuad A. Sulaiman, Sapiah QA75 Electronic computers. Computer science Software Defined Networks (SDN) is a new paradigm that emerged to improve network management through separation of control from the data plane using a standardized protocol. OpenFlow is the most popular standard to achieve the benefit of SDN. For every arrived flow, a corresponding flow entry is installed in the switch flowtable to guide the data transmission process. The proliferation of the Internet of Things (IoT) devices increases the number of flows generation unfortunately switch flowtable is constraint with limited space. Consequently, it led to flowtable overflow. Several studies leverage the First in First Out, Random replacement policy to removed old flow entries when the flowtable is overflowed. Although some performance gains were reported. However. Flows exhibit variabilities in terms of duration, inter-arrival-time, and the number of packets differs. Usually, some flows contain a large number of packets others have few packets. Applying these replacement policies may not always meet the demand of these types of flows. As such, this study experiments eviction mechanism to evaluate the performance of the two schemes and observe their eviction behavior with respect to flow features. On average FIFO preserved flows with a large number of packets by 4.95% while Random preserved by 36.11%. In conclusion, Random showed better performance compared to FIFO with respect to an increasing flow generation and change in flowtable size. 2022 Conference or Workshop Item PeerReviewed Isyaku, Babangida and Abu Bakar, Kamalrulnizam and Ghaleb, Fuad A. and Sulaiman, Sapiah (2022) Performance evaluation of flowtable eviction mechanisms for software defined networks considering traffic flows variabilities. In: 12th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2022, 21 May 2022 - 22 May 2022, Virtual, Online. http://dx.doi.org/10.1109/ISCAIE54458.2022.9794547
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Isyaku, Babangida
Abu Bakar, Kamalrulnizam
Ghaleb, Fuad A.
Sulaiman, Sapiah
Performance evaluation of flowtable eviction mechanisms for software defined networks considering traffic flows variabilities
description Software Defined Networks (SDN) is a new paradigm that emerged to improve network management through separation of control from the data plane using a standardized protocol. OpenFlow is the most popular standard to achieve the benefit of SDN. For every arrived flow, a corresponding flow entry is installed in the switch flowtable to guide the data transmission process. The proliferation of the Internet of Things (IoT) devices increases the number of flows generation unfortunately switch flowtable is constraint with limited space. Consequently, it led to flowtable overflow. Several studies leverage the First in First Out, Random replacement policy to removed old flow entries when the flowtable is overflowed. Although some performance gains were reported. However. Flows exhibit variabilities in terms of duration, inter-arrival-time, and the number of packets differs. Usually, some flows contain a large number of packets others have few packets. Applying these replacement policies may not always meet the demand of these types of flows. As such, this study experiments eviction mechanism to evaluate the performance of the two schemes and observe their eviction behavior with respect to flow features. On average FIFO preserved flows with a large number of packets by 4.95% while Random preserved by 36.11%. In conclusion, Random showed better performance compared to FIFO with respect to an increasing flow generation and change in flowtable size.
format Conference or Workshop Item
author Isyaku, Babangida
Abu Bakar, Kamalrulnizam
Ghaleb, Fuad A.
Sulaiman, Sapiah
author_facet Isyaku, Babangida
Abu Bakar, Kamalrulnizam
Ghaleb, Fuad A.
Sulaiman, Sapiah
author_sort Isyaku, Babangida
title Performance evaluation of flowtable eviction mechanisms for software defined networks considering traffic flows variabilities
title_short Performance evaluation of flowtable eviction mechanisms for software defined networks considering traffic flows variabilities
title_full Performance evaluation of flowtable eviction mechanisms for software defined networks considering traffic flows variabilities
title_fullStr Performance evaluation of flowtable eviction mechanisms for software defined networks considering traffic flows variabilities
title_full_unstemmed Performance evaluation of flowtable eviction mechanisms for software defined networks considering traffic flows variabilities
title_sort performance evaluation of flowtable eviction mechanisms for software defined networks considering traffic flows variabilities
publishDate 2022
url http://eprints.utm.my/id/eprint/99396/
http://dx.doi.org/10.1109/ISCAIE54458.2022.9794547
_version_ 1758950355936215040
score 13.211869

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