Title :
The impact of correlation on delay performance of high speed networks
Author :
Cui, Zhi ; Nilsson, Arne A.
Author_Institution :
Center for Commun. & Signal Process., North Carolina State Univ., Raleigh, NC, USA
Abstract :
This paper focuses on the impact of correlation on the delay performance of high speed networks. Markov-modulated Poisson process (MMPP), which captures both burstiness and correlation between interarrival times, is used to model packet arrival processes in high speed networks. Only one hop of a high speed network is studied since queueing networks can be approximately analyzed by decomposing the network into several separate elements. For simplicity, the authors model this one hop of the network as an MMPP/M/1 queue. The delay performance of MMPP/M/1 queue is investigated in terms of the MMPP correlation. A comparison among correlation, burstiness, and utilization impacts on delay performance is presented
Keywords :
Markov processes; correlation theory; delays; packet switching; performance evaluation; queueing theory; telecommunication traffic; MMPP; MMPP/M/1 queue; Markov-modulated Poisson process; burstiness; correlation; delay performance; high speed networks; interarrival times; network utilization; packet arrival processes; queueing networks; Artificial intelligence; Delay; High-speed networks; Queueing analysis; Signal processing; Steady-state; Stochastic processes; Telecommunication traffic; Traffic control;
Conference_Titel :
System Theory, 1994., Proceedings of the 26th Southeastern Symposium on
Conference_Location :
Athens, OH
Print_ISBN :
0-8186-5320-5
DOI :
10.1109/SSST.1994.287850