DocumentCode
2596446
Title
An autonomic flow based path selection method for multi-homed nodes
Author
Xiaoli, Guo ; Yuhong, Li ; Weiqi, Hu
Author_Institution
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2009
fDate
18-20 Oct. 2009
Firstpage
85
Lastpage
89
Abstract
In order to access the Internet ubiquitously, most of the devices are equipped with multiple radio interfaces. In this way, the multi-homed node can attach to multiple access networks through multiple communication paths simultaneously. Flow based path selection is typically needed for the user to be always best connected. Meanwhile, autonomic feature can be introduced into the path selection system. An autonomic flow based path selection system is proposed in this paper to autonomically and efficiently select the best communication path for the traffic flows of the multi-homed node. The generated routing rules can constrain specific traffic flow to certain communication path properly and simultaneously. In the end, the throughput of the multi-homed nodes is verified in our simulation scenario to evaluate the performance of the path selection method.
Keywords
Internet; fault tolerant computing; mobile computing; radio access networks; telecommunication network routing; telecommunication traffic; Internet ubiquitous computing; autonomic flow; constrain specific traffic flow; generated routing rule; mobile multihomed node; multiple access network; multiple communication path; multiple radio interface; path selection method; simulation scenario; Communication networks; Communication switching; Communication system traffic control; Internet; Laboratories; Peer to peer computing; Routing; Telecommunication switching; Telecommunication traffic; Traffic control; Autonomic control loop; Multi-homing; Path selection; Routing Rules; Traffic flows;
fLanguage
English
Publisher
ieee
Conference_Titel
Broadband Network & Multimedia Technology, 2009. IC-BNMT '09. 2nd IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4590-5
Electronic_ISBN
978-1-4244-4591-2
Type
conf
DOI
10.1109/ICBNMT.2009.5347875
Filename
5347875
Link To Document