关键词: 自相似业务量, 重尾分布, 排队性能

Abstract: 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.

Key words: self-similar traffic, heavy-tailed distribution, queuing performance