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A Multiple Time Scale , Aggregate Source Model for Edge Traffic in the Next Generation Network

Edge or core-ingress traffic in the Next Generation Network (NGN) is generated by the hierarchical aggregation of multiple, heterogeneous client flows. We model the edge traffic arrival process for an aggregated multi-service user group. The model quantifies the relationship between traffic shaping factors: user group behaviour and service properties, multiplexing buffering and scheduling architecture, and the resulting multiple-time-scale burst characteristics of the aggregated, edge traffic. An initial model analysis shows significant impact due to Class-based queueing (CBQ) at the voice burst time-scale, and a predictable relationship between changing user-group traffic mix and aggregate traffic burstiness. Further usage of modelling includes determining quantifiable impacts of additional architectural variations and the performance implications of multi-timescale burstiness in queueing systems.