On the traffic modeling of burst aggregation algorithms using video and data traces

Authors:
Xenia Mountrouidou;Harry G. Perros
Affiliations:
IBM Software Group, Durham, NC;North Carolina State University, Raleigh, NC
Venue:
Proceedings of the first international conference on Networks for grid applications
Year:
2007

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Abstract

We obtain analytically the delay per packet in a burst for the three burst aggregation algorithms: Time based, Burst Length based and mixed Time and Burst Length based, assuming real video and aggregated Internet traces, as well as the IPP arrivals. For video traces we also obtain the probability that a playback machine will pause due to lack of frames when streaming video. The accuracy of the analytic results was established by comparing them to simulation data.