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D-BIND: an accurate traffic model for providing QoS guarantees to VBR traffic

机译:D-BIND:一种精确的流量模型,可为VBR流量提供QoS保证

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摘要

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 (R/sub k/, I/sub k/), where a rate R/sub k/ is a bounding or worst case rate over every interval of length I/sub k/. 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.
机译:需要有限延迟网络服务的可变比特率流量是未来集成服务网络中最重要的流量类型之一。我们引入了一种新的确定性流量模型,称为确定性边界间隔-长度相关(D-BIND),以捕获突发流的重要复用特性。使用D-BIND模型,客户端通过多个速率间隔对(R / sub k /,I / sub k /)指定其到网络的流量,其中速率R / sub k /是有限制的或最坏情况下的速率长度I / sub k /的每个间隔。该模型捕获了直观的属性,即在更长的时间间隔长度内,源可能受低于其峰值速率但更接近其长期平均速率的速率的限制。我们在确定性服务的上下文中分析新模型,并使用一系列MPEG压缩视频的痕迹进行实验,以量化其性能优势。我们显示,与以前的流量模型相比,D-BIND对流量流的更准确的表征导致网络利用率的大幅提高。

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