An efficient flow classification algorithm in Software-Defined Networking

Seungbum Ju; Kyoungtaek Lee; Jonghun Kim; Jaiyong Lee

doi:10.1109/ICOIN.2015.7057887

An efficient flow classification algorithm in Software-Defined Networking

Seungbum Ju, Kyoungtaek Lee, Jonghun Kim, Jaiyong Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In Software-Defined Network environment, operator can see the global view of network. So it can be manage flows with network-wide view, but legacy flow classification method cannot satisfy the integrated tables of all switches because of out of memory and long compilation time. So I proposed the architecture that can control network-wide flow classification to satisfy one's policy like Quality-of-Service. The architecture that proposed is consists of hierarchical Multi-valued decision diagram and Binary Decision Diagram. It is used to be used in VLSI. It makes less memory consumption and little compilation time. So it can contribute in network verification and network fabric.

Original language	English
Title of host publication	2015 International Conference on Information Networking, ICOIN 2015
Publisher	IEEE Computer Society
Pages	227-232
Number of pages	6
ISBN (Electronic)	9781479983421
DOIs	https://doi.org/10.1109/ICOIN.2015.7057887
Publication status	Published - 2015 Mar 10
Event	2015 International Conference on Information Networking, ICOIN 2015 - Siem Reap, Cambodia Duration: 2015 Jan 12 → 2015 Jan 14

Publication series

Name	International Conference on Information Networking
Volume	2015-January
ISSN (Print)	1976-7684

Other

Other	2015 International Conference on Information Networking, ICOIN 2015
Country/Territory	Cambodia
City	Siem Reap
Period	15/1/12 → 15/1/14

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ICOIN.2015.7057887

Cite this

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title = "An efficient flow classification algorithm in Software-Defined Networking",

abstract = "In Software-Defined Network environment, operator can see the global view of network. So it can be manage flows with network-wide view, but legacy flow classification method cannot satisfy the integrated tables of all switches because of out of memory and long compilation time. So I proposed the architecture that can control network-wide flow classification to satisfy one's policy like Quality-of-Service. The architecture that proposed is consists of hierarchical Multi-valued decision diagram and Binary Decision Diagram. It is used to be used in VLSI. It makes less memory consumption and little compilation time. So it can contribute in network verification and network fabric.",

author = "Seungbum Ju and Kyoungtaek Lee and Jonghun Kim and Jaiyong Lee",

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year = "2015",

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day = "10",

doi = "10.1109/ICOIN.2015.7057887",

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Ju, S, Lee, K, Kim, J & Lee, J 2015, An efficient flow classification algorithm in Software-Defined Networking. in 2015 International Conference on Information Networking, ICOIN 2015., 7057887, International Conference on Information Networking, vol. 2015-January, IEEE Computer Society, pp. 227-232, 2015 International Conference on Information Networking, ICOIN 2015, Siem Reap, Cambodia, 15/1/12. https://doi.org/10.1109/ICOIN.2015.7057887

An efficient flow classification algorithm in Software-Defined Networking. / Ju, Seungbum; Lee, Kyoungtaek; Kim, Jonghun et al.
2015 International Conference on Information Networking, ICOIN 2015. IEEE Computer Society, 2015. p. 227-232 7057887 (International Conference on Information Networking; Vol. 2015-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - In Software-Defined Network environment, operator can see the global view of network. So it can be manage flows with network-wide view, but legacy flow classification method cannot satisfy the integrated tables of all switches because of out of memory and long compilation time. So I proposed the architecture that can control network-wide flow classification to satisfy one's policy like Quality-of-Service. The architecture that proposed is consists of hierarchical Multi-valued decision diagram and Binary Decision Diagram. It is used to be used in VLSI. It makes less memory consumption and little compilation time. So it can contribute in network verification and network fabric.

AB - In Software-Defined Network environment, operator can see the global view of network. So it can be manage flows with network-wide view, but legacy flow classification method cannot satisfy the integrated tables of all switches because of out of memory and long compilation time. So I proposed the architecture that can control network-wide flow classification to satisfy one's policy like Quality-of-Service. The architecture that proposed is consists of hierarchical Multi-valued decision diagram and Binary Decision Diagram. It is used to be used in VLSI. It makes less memory consumption and little compilation time. So it can contribute in network verification and network fabric.

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An efficient flow classification algorithm in Software-Defined Networking

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