TY - GEN
T1 - Context-aware traffic forwarding service for applications in SDN
AU - Luo, Shibo
AU - Wu, Jun
AU - Li, Jianhua
AU - Guo, Longhua
AU - Pei, Bei
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - Traffic forwarding is a fundamental function in network operations. And forwarding traffic dynamically according to the current situation is attractive to network providers. With its programmability, Software-Defined Networks (SDN) provide network providers dynamic traffic forwarding ability. But SDN only provides trivial flow table to control traffic forwarding that is not an effective way for applications above SDN architecture. Also, SDN does not percept the situation itself. A more abstract and context-aware traffic forwarding scheme for applications in SDN is needed. In this paper, we propose a context-aware traffic forwarding service for applications in SDN. We firstly propose a traffic forwarding service composition framework special for SDN that utilize the advantages of SDN. We conclude that traffic forwarding service composition problem in SDN is essentially a multi-constrained optimization path problem. And based on this conclusion, a graph-based model and service composition algorithm are applied to the service composition scheme. To take the dynamic context factors in SDN into consideration, a regression analysis method is adopted. Finally, we offer an evaluation to validate the methodology. The results of the evaluation demonstrate that our approach is context-aware.
AB - Traffic forwarding is a fundamental function in network operations. And forwarding traffic dynamically according to the current situation is attractive to network providers. With its programmability, Software-Defined Networks (SDN) provide network providers dynamic traffic forwarding ability. But SDN only provides trivial flow table to control traffic forwarding that is not an effective way for applications above SDN architecture. Also, SDN does not percept the situation itself. A more abstract and context-aware traffic forwarding scheme for applications in SDN is needed. In this paper, we propose a context-aware traffic forwarding service for applications in SDN. We firstly propose a traffic forwarding service composition framework special for SDN that utilize the advantages of SDN. We conclude that traffic forwarding service composition problem in SDN is essentially a multi-constrained optimization path problem. And based on this conclusion, a graph-based model and service composition algorithm are applied to the service composition scheme. To take the dynamic context factors in SDN into consideration, a regression analysis method is adopted. Finally, we offer an evaluation to validate the methodology. The results of the evaluation demonstrate that our approach is context-aware.
KW - Multi-Constrained Optimization Path Problem
KW - Next Generation Service Overlay Network
KW - Regression Analysis
KW - Service Composition
KW - Software-Defined Networks
UR - http://www.scopus.com/inward/record.url?scp=84973882867&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973882867&partnerID=8YFLogxK
U2 - 10.1109/SmartCity.2015.128
DO - 10.1109/SmartCity.2015.128
M3 - Conference contribution
AN - SCOPUS:84973882867
T3 - Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015
SP - 557
EP - 561
BT - Proceedings - 2015 IEEE International Conference on Smart City, SmartCity 2015, Held Jointly with 8th IEEE International Conference on Social Computing and Networking, SocialCom 2015, 5th IEEE International Conference on Sustainable Computing and Communications, SustainCom 2015, 2015 International Conference on Big Data Intelligence and Computing, DataCom 2015, 5th International Symposium on Cloud and Service Computing, SC2 2015
A2 - Liu, Xingang
A2 - Wang, Peicheng
A2 - Wang, Yufeng
A2 - Dong, Mianxiong
A2 - Hsu, Robert C. H.
A2 - Xia, Feng
A2 - Deng, Yuhui
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Smart City, SmartCity 2015
Y2 - 19 December 2015 through 21 December 2015
ER -