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Business predictions based on rough network traffic measurements R. van de Meet, A. Preys, M.R.H. Manages, J.L. van den Berg, F. Rivers, L.J.M. Nieuwenhuis, P.H.A. Veterans Corresponding author (Email:
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Burstiness predictions are based on analyzing the intermittent or irregular patterns of data bursts in a specific time period.
The individuals or organizations responsible for managing and maintaining the data sources are required to file burstiness predictions.
To fill out burstiness predictions, one needs to analyze the historical data bursts, identify patterns, and use statistical methods to predict future burstiness.
The purpose of burstiness predictions is to anticipate and plan for periods of increased data activity or demand, allowing for better resource allocation and optimization.
Burstiness predictions should report the expected burst durations, intervals between bursts, and any factors influencing burstiness.
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