A neural-based technique for estimating self-similar traffic average queueing delay

Impact of aggregated, self-similar ON/OFF traffic on delay in stationary queueing models (extended version)

The impact of the now widely acknowledged self-similar property of network traffic on cell delay in a single server queueing model is investigated. The analytic traffic model, called N-Burst, uses the superposition of N independent cell streams of ON/OFF type with Power-Tail distributed ON periods. Delay for such arrival processes is mainly caused by over-saturation periods, which occur when to...

A measurement-based congestion alarm for self-similar traffic

Abstrucf-Self-similar traffic is distinguished by positive correlation, which can be exploited for better traffic management. Inspired hy measurement-based admission control schemes, a measurement-based congestion alarm is proposed. The aggregate traffic at an output port of a switch or router in a high-speed network is modeled by a fractional Gaussian noise process. Traffic measurements are pe...

Self-generated Self-similar Traffic

Self-similarity in the network traffic has been studied from several aspects: both at the user side and at the network side there are many sources of the long range dependence. Recently some dynamical origins are also identified: the TCP adaptive congestion avoidance algorithm itself can produce chaotic and long range dependent throughput behavior, if the loss rate is very high. In this paper w...

A simple analysis of average queueing delay in tree networks

We develop an approach to the analysis of average queueing delay in a tree network of discrete-time queues with constant senice time. The analysis of such systems is pertinent to packet-switehed data networks with fixed-length packets. Our solution is based on considering an equivalent network, in which at each node packets in transit are given priority over exogenous arrivals. The solution to ...

Self-similar Traffic Models