Abstract
Recent work indicates simulation of dynamic network behaviour may be used as an effective tool for predicting network performance for the near future. Conclusions from such simulation, when applied to network performance, can greatly enhance network management. To accomplish this, such simulation must be performed in real time, with the consequent effect of drastically reducing both modelling and experimentation requirements. This article introduces a modelling framework for the uniform manipulation of network entities with minimum time overhead. This framework, which is based on modular and hierarchical modelling, extends to both primitive and composite entities such as communication protocols and nodes, and ensures that composite network entity models are preconstructed. The framework thus enables the model to reliably depict variable network structure and operation parameters. Sample measurements are presented to illustrate the type of dynamic network behaviour that such simulation techniques have to deal with. The measurements also illustrate the adaptability of the model, including reduced time overhead for simulation experiments.
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