DocumentCode :
1977767
Title :
An efficient flow classification algorithm in Software-Defined Networking
Author :
Seungbum Ju ; Kyoungtaek Lee ; Jonghun Kim ; Jaiyong Lee
Author_Institution :
Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear :
2015
fDate :
12-14 Jan. 2015
Firstpage :
227
Lastpage :
232
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.
Keywords :
VLSI; binary decision diagrams; pattern classification; quality of service; software defined networking; VLSI; binary decision diagram; compilation time; flow classification algorithm; hierarchical multivalued decision diagram; memory consumption; quality of service; software defined networking; Binary decision diagrams; Boolean functions; Guidelines; Hypercubes; Internet; Standards; SDN; binary decision diagram; compilation time; flow classification; memory; network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Networking (ICOIN), 2015 International Conference on
Conference_Location :
Cambodia
Type :
conf
DOI :
10.1109/ICOIN.2015.7057887
Filename :
7057887
Link To Document :
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