TY - GEN
T1 - A decision-tree-based on-line flow table compressing method in Software Defined Networks
AU - Leng, Bing
AU - Huang, Liusheng
AU - Qiao, Chunming
AU - Xu, Hongli
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/13
Y1 - 2016/10/13
N2 - It is a common view in Software Defined Network (SDN) that the flow table plays the most significant role in SDN architecture, but suffers from the limited TCAM chips. The shortage of flow table storage strongly impacts the quality of service (QoS) provided by SDN, but requires rational solutions. In this paper, we present a practical on-line approach based on the decision tree structure to solve this problem. Our performance is evaluated by the comparison with other existing technologies.
AB - It is a common view in Software Defined Network (SDN) that the flow table plays the most significant role in SDN architecture, but suffers from the limited TCAM chips. The shortage of flow table storage strongly impacts the quality of service (QoS) provided by SDN, but requires rational solutions. In this paper, we present a practical on-line approach based on the decision tree structure to solve this problem. Our performance is evaluated by the comparison with other existing technologies.
UR - https://www.scopus.com/pages/publications/85009756529
U2 - 10.1109/IWQoS.2016.7590401
DO - 10.1109/IWQoS.2016.7590401
M3 - Conference contribution
AN - SCOPUS:85009756529
T3 - 2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016
BT - 2016 IEEE/ACM 24th International Symposium on Quality of Service, IWQoS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th IEEE/ACM International Symposium on Quality of Service, IWQoS 2016
Y2 - 20 June 2016 through 21 June 2016
ER -