Title :
Transmission of messages using parallel servers: asymptotic approach
Author :
Vvedenskaya, N.D.
Author_Institution :
Inst. for Inf. Transmission Problem, Moscow, Russia
fDate :
29 Jun-4 Jul 1997
Abstract :
A queuing system SN With N servers and a Poisson input flow of messages of intensity λN is considered. At its arrival a message is split into m packets and each packet is send to a randomly selected server where it joins a FCFS queue. The service time of a packet is distributed exponentially with mean 1. We investigate the queue length distribution as N→∞
Keywords :
exponential distribution; message switching; network servers; packet switching; queueing theory; stochastic processes; telecommunication networks; FCFS queue; Poisson input flow; asymptotic approach; exponential distribution; mean-field method; message intensity; message transmission; packet service time; packet switching networks; parallel servers; queue length distribution; queuing system; Boundary value problems; Decoding; Joining processes; Markov processes; Physics; State-space methods; Tin;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.612947
