Title :
D-BIND: an accurate traffic model for providing QoS guarantees to VBR traffic
Author :
Knightly, Edward W. ; Zhang, Hui
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
fDate :
4/1/1997 12:00:00 AM
Abstract :
Variable bit-rate traffic that requires a bounded-delay network service is one of the most important types of traffic in future integrated services networks. We introduce a new deterministic traffic model called deterministic bounding interval-length dependent (D-BIND) to capture the important multiplexing properties of bursty streams. With the D-BIND model, clients specify their traffic to the network via multiple rate-interval pairs (Rk, Ik), where a rate Rk is a bounding or worst case rate over every interval of length Ik. The model captures the intuitive property that, over longer interval lengths, a source may be bounded by a rate lower than its peak rate and closer to its long-term average rate. We analyze the new model in the context of a deterministic service, and we quantify its performance benefits using a set of experiments with traces of MPEG-compressed video. We show that D-BIND´s more accurate characterization of traffic streams leads to substantial improvements in network utilization as compared to previous traffic models
Keywords :
ISDN; data compression; multiplexing; telecommunication congestion control; telecommunication traffic; video coding; D-BIND; MPEG-compressed video; QoS guarantees; VBR traffic; accurate traffic model; bounded delay network service; bursty streams; connection admission control; deterministic bounding interval-length dependent model; deterministic service; deterministic traffic model; experiments; integrated services networks; interval length; long term average rate; multiple rate-interval pairs; multiplexing properties; network performance; network utilization; peak rate; traffic streams; variable bit rate traffic; worst case rate; Context modeling; Context-aware services; Delay; Intserv networks; Performance analysis; Quality of service; Stochastic processes; Telecommunication traffic; Traffic control; Video compression;
Journal_Title :
Networking, IEEE/ACM Transactions on