Make Flows Great Again: A Hybrid Resilience Mechanism for OpenFlow Networks

A top concern in Software-Defined Networking (SDN) is the management of network flows. The resource limitation in SDN devices, e.g., Ternary Content Addressable Memory (TCAM) size, and the signaling overhead between the control and data plane elements can impose scalability restrictions for a networ...

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Published inInformation (Basel) Vol. 9; no. 6; p. 146
Main Author Silva, Walber
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2018
Subjects
Algorithms
Associative memory
Communication
Failure
flow management
OpenFlow network
Resilience
resilience mechanism
Software
Software-defined networking
Traffic congestion
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Abstract A top concern in Software-Defined Networking (SDN) is the management of network flows. The resource limitation in SDN devices, e.g., Ternary Content Addressable Memory (TCAM) size, and the signaling overhead between the control and data plane elements can impose scalability restrictions for a network. A notable SDN technology is the OpenFlow protocol, and failures in links and nodes inside an OpenFlow network could lead to drawbacks, such as packet loss. This work proposes the Local Node Group fast reroute (LONG), a hybrid resilience mechanism for OpenFlow networks that combines protection and restoration resilience mechanisms. The results achieved indicate that LONG is a practical approach when compared against the state-of-the-art algorithms.
AbstractList A top concern in Software-Defined Networking (SDN) is the management of network flows. The resource limitation in SDN devices, e.g., Ternary Content Addressable Memory (TCAM) size, and the signaling overhead between the control and data plane elements can impose scalability restrictions for a network. A notable SDN technology is the OpenFlow protocol, and failures in links and nodes inside an OpenFlow network could lead to drawbacks, such as packet loss. This work proposes the Local Node Group fast reroute (LONG), a hybrid resilience mechanism for OpenFlow networks that combines protection and restoration resilience mechanisms. The results achieved indicate that LONG is a practical approach when compared against the state-of-the-art algorithms.
Author Silva, Walber
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CitedBy_id crossref_primary_10_1016_j_jer_2023_12_005
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Copyright 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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SubjectTerms Algorithms
Associative memory
Communication
Failure
flow management
OpenFlow network
Resilience
resilience mechanism
Software
Software-defined networking
Traffic congestion
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