In this paper, an analytic approximation is derived for the end-to-end delay-jitter incurred by a periodic traffic with constant packet size. It is assumed that the periodic traffic is multiplexed with a background packet stream under the FCFS service discipline in each queue along the path to its destination. The processes governing the packet arrivals and the packet sizes of the background traffics are assumed to be general renewal processes. A very simple analytical approximation is derived and its accuracy is assessed by means of event-driven simulations.
In this paper, an analytic approximation is derived for the end-to-end delay-jitter incurred by a periodic traffic with constant packet size. The single node case is considered first. It is assumed that the periodic traffic is multiplexed with a background packet stream under the FCFS service discipline. The processes governing the packet arrivals and the packet sizes of the background traffic are assumed to be general renewal processes. A very simple analytical approximation is derived and its accuracy is assessed by means of event-driven simulations. This approximation is then extended to the multiple node case yielding a simple analytical approximation of the end-to-end jitter. This approximation is shown to be fairly accurate in the light to moderate traffic conditions typically encountered in IP core networks.
Traffic modeling is an important tool for performance evaluation of networks. Over the last decade traffic characterization studies revealed the presence of different types of correlations in Internet traffic. In this paper we present traffic modeling methodology by aggregates of bytes using the / / M G ∞ process for capturing traffic correlations. We use recent traffic traces to construct / / M G ∞ traffic models, and we evaluate the generated traffic both statistically and by simulation in network environment. We show limitations of bytes aggregates models, and we conclude by propositions to obtain more accurate models.
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