Unified measurement functions for traffic aggregation and link capacity assessment

We present simple and informative new measurement functions. Their applications on real traffic traces provide insightful guidelines for measurement-based network control. We investigate practical scenarios and conclude that robust and insensitive measurement intervals can be found with the consideration of multiplexing and connection/flow dynamics. We find that a considerable percentage of the effective bandwidth is required by low frequency traffic in the context of realistic implementations. For a queuing node with the maximum allowable queuing delay d_max, it is quantitatively shown that peak rate of the input traffic filtered (smoothed) with the averaging period of 200d_max captures more than 80% of the effective bandwidth when traffic aggregation and flow/connection dynamics are considered