Dual dimensional ABR control scheme using predictive filtering of self-similar traffic

This paper presents an ABR control scheme (ABR²-DP) which maximises the utilisation of information available about the network traffic. Firstly, it takes into account the long-range dependence of the self-similar background network traffic, and utilises it for more accurate multi-step predictions of the explicit rate (ER). Secondly, prediction errors for connections with greater network delay are compensated for in the ER calculations for connections with smaller delay. Hence, the available bandwidth is distributed both in temporal and spatial dimensions. The scheme allows a reduction in buffer requirements and queueing delay. Performance results are presented and compared with a previously proposed scheme which uses digital filtering