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.
Year
DOI
Venue
2015
10.1109/ICOIN.2015.7057887
ICOIN
Keywords
Field
DocType
network,sdn,vlsi,binary decision diagrams,memory consumption,quality of service,flow classification algorithm,pattern classification,software defined networking,flow classification,compilation time,binary decision diagram,hierarchical multivalued decision diagram,memory,boolean functions,internet,hypercubes
Boolean function,Out of memory,Computer science,Binary decision diagram,Influence diagram,Operator (computer programming),Software-defined networking,Very-large-scale integration,The Internet,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
4
Name
Order
Citations
PageRank
Seungbum Ju100.34
Kyoungtaek Lee200.68
Jong-Hun Kim326220.58
Jaiyong Lee435150.39