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

fYear

1994

fDate

20-22 Mar 1994

Firstpage

371

Lastpage

374

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;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1994., Proceedings of the 26th Southeastern Symposium on

Conference_Location

Athens, OH

ISSN

0094-2898

Print_ISBN

0-8186-5320-5

Type

conf

DOI

10.1109/SSST.1994.287850

Filename

287850