Queuing Performance Analysis with Self-similar Network Traffic
Anshi Xu · Acta Scicentiarum Naturalum Universitis Pekinesis · 2002
When studying the network performance,flow control and resource provisioning of communication networks,traffic model plays a very important role.The recent studies show that the date network traffic is self-similar,so the Markovian model,which describes telephone networks accurately,is not suitable for date networks.The self-similarity of the network traffic has severe impact on flow control and queuing analysis in date networks,therefore it has received significant attention.In this paper,G/M/1 queuing model is used to analyze the queuing performance of generic variable length packet networks for the first time.The self-similar traffic is generated by multiplexing a large set of independent Pareto heavy-tailed interarrival ON/OFF sources.The simulation results show that the heavy-tailed traffic results in queuing performance deterioration for variable length packet networks,which is in accordance with the analytical results for ATM switches.