Browsing by Author "Rao, S."
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Item OPNET Simulator of the ALAX: Preliminary Results(1995) Rao, S.; ISR; CSHCNIn this short report we briefly discuss the results of various preliminary simulation runs which we have performed with the OPNET simulator of the ALAX. These results provide a range estimate on the size of various buffers as well as a rough idea of the trade-offs which are involved between the processor and switching speed, and buffer sizes. In order to allow the simulations to stabilize quickly in this initial set of simulation runs the source used was a simple process with an embedded two-state Markov chain. More complex source models are described in a companion report.Item Traffic Models for the OPNET Simulator of the ALAX(1995) Rao, S.; ISR; CSHCNTraffic modeling is an important component in the design of high speed and high bandwidth environments. Here we present the traffic models we developed in OPNET, which were currently being used to validate and refine the design of an ATM-LAN Access switch. These models attempt to capture the correlation and burstiness of the traffic that the switch is expected to carry. This burstiness and correlation in the traffic manifests itself in terms of packet delays and buffer overflow. Traffic models mainly fall into two categories -(1)Short Range Dependent models and (2) Long Range Dependent models. These two differ dramatically in terms of the behavior of the correlation function. Traditionally designers have been using Short Range Dependent models. However recent investigations suggest that traffic sources such as Variable Bit Rate Video and Ethernet traffic are better represented by Long Range Dependent models. Here we describe both types of models. The Long Range Dependent source is based on the M/G/infinity model. Two Short Range Models were developedī¯ne is a Markov Modulated Poisson Process and the other is based on an underlying Autoregressive model. This report describes all these models in sufficient detail along with the relevant implementation issues.