DocumentCode :
1969192
Title :
Optimizing IP Multicast through Delayed Multicast Tree Pruning
Author :
Li, Yongjun ; Zhou, Wenhui ; Wang, James Z. ; Qi, Deyu
Author_Institution :
Guangzhou Radio & Telev. Univ., Guangzhou
fYear :
2006
fDate :
1-5 Oct. 2006
Firstpage :
1
Lastpage :
7
Abstract :
This paper studies the system parameters that affect the total cost of managing the multicast group on a router. A Petri net model is first proposed to describe the states and transitions of the multicast group management. Based on this model, a delayed vacation queue, extended from a simple M/M/l queue, is used to analyze the total cost of the multicast group management under various system conditions. The formal analysis reveals that the total cost of the multicast group management is minimized when a router delays a certain time to send its pruning messages to upper stream routers. Furthermore, a formula is derived to calculate the optimal delay time for sending the pruning messages under various system parameters to minimize the multicast group management cost. Finally, cost analysis examples demonstrate how other system parameters, such as multicast member arrival rate and message sending costs, affect the total cost of the multicast group management under various delay times for sending the pruning messages.
Keywords :
IP networks; Petri nets; multicast communication; optimisation; IP multicast; Petri net; cost analysis; delay time; delayed multicast tree pruning; delayed vacation queue; multicast group management; pruning messages; Application software; Computer science; Cost function; Delay effects; Internet; Multicast protocols; Queueing analysis; Streaming media; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Broadband Communications, Networks and Systems, 2006. BROADNETS 2006. 3rd International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-0425-4
Electronic_ISBN :
978-1-4244-0425-4
Type :
conf
DOI :
10.1109/BROADNETS.2006.4374383
Filename :
4374383
Link To Document :
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