DocumentCode
2811423
Title
Performance analysis of least load multicast routing for single rate loss networks
Author
Cheung, Chi-Chung ; Tsang, Danny H K ; Gupta, Sanjay ; Chu, Hon-Wai
Author_Institution
Dept. of Comput. Sci., Hong Kong Univ., Hong Kong
Volume
3
fYear
1999
fDate
1999
Firstpage
1542
Abstract
We investigate a state dependent multicast routing algorithm called least load multicast routing (LLMR), for single rate loss networks. The algorithm is based on least load routing (LLR) concept and the approach is to select the least load links for establishing connections. The networks considered are assumed fully connected. In addition, connection requests are Poisson arrival and the holding times of accepted calls are exponentially distributed. The analytical model that we developed for calculating the blocking probabilities is based on the link independence assumption and the reduced load approximation (RLA). Analytical results are compared with simulation results and the agreement is surprisingly good. We find that the effect of link independence assumption is insignificant for the analytical model
Keywords
Poisson distribution; approximation theory; exponential distribution; multicast communication; telecommunication links; telecommunication network routing; Poisson arrival; accepted calls; analytical model; blocking probability; connection requests; exponential distribution; fully connected networks; holding times; least load multicast routing; least load routing; link independence assumption; performance analysis; reduced load approximation; simulation results; single rate loss networks; state dependent multicast routing algorithm; Analytical models; Circuits; Computer science; GSM; Multicast algorithms; Performance analysis; Probability; Routing; Telephony; Videoconference;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 1999. ICC '99. 1999 IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-5284-X
Type
conf
DOI
10.1109/ICC.1999.765475
Filename
765475
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