Abstract
We have modeled data flow in communication link using random motion of a particle, which results in a Gaussian pattern of traffic flow over a period of time. The varying degrees of spectral deviation present a coherent model of data flow for wired links. We have considered multiple link systems and presented an n-dimensional representation of traffic model using a Gaussian function governed by n-parameters. The model opens new insights toward analyzing and predicting bandwidth requirements in communication links and their prospective failure.
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Reif F Fundamental of statistical and thermal physics
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Ojha, R.P., Raj, D., Srivastava, P.K., Sanyal, G. (2018). Gaussian Tendencies in Data Flow in Communication Links. In: Bokhari, M., Agrawal, N., Saini, D. (eds) Cyber Security. Advances in Intelligent Systems and Computing, vol 729. Springer, Singapore. https://doi.org/10.1007/978-981-10-8536-9_48
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DOI: https://doi.org/10.1007/978-981-10-8536-9_48
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