自相似流量聚合对服务质量参数的绝对影响

C. Watagodakumbura, A. Jennings, N. Shenoy
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引用次数: 4

摘要

差异化服务(DiffServ)体系结构基于流量聚合,而不是每个流量。当DiffServ应用于实时流量环境时,研究流量聚合对服务参数质量的绝对影响是很有必要的。也就是说,当网络入口不使用令牌桶之类的突发控制器时,就会获得效果。单向时延和瞬时分组时延变化(IPDV)是实时通信中最常用的业务质量参数。此外,近年来,互联网流量的分形或自相似性质已被确定。本文研究了自相似业务聚合对单向时延和IPDV的影响。我们使用模拟对聚合自相似流量和指数到达间流量之间的IPDV和单向延迟进行了定量比较。在网络入口使用的唯一流量控制是聚合实时流量利用率阈值。此外,我们提出了“有源电平”的概念来解释延迟变化中观察到的统计复用增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Absolute effects of aggregation of self-similar traffic on quality of service parameters
Differentiated services (DiffServ) architecture is based on aggregation of traffic as opposed to per flow traffic. When DiffServ is used in a real time traffic environment, it is appealing to study absolute effects of traffic aggregation on quality of service parameters. That is, effects are obtained when a burstiness controller such as a token bucket is not used at the entrance of the network. One-way delay and instantaneous packet delay variation (IPDV) are the most commonly used quality of service parameters for real time traffic. Also, fractal or self-similar nature of the Internet traffic has been identified in recent years. In this paper, we study how one-way delay and IPDV are affected by aggregation of self-similar traffic. We make quantitative comparisons of IPDV and one-way delay between aggregated self-similar traffic and exponential inter-arrival traffic using simulations. The only traffic control used at the entrance of the network is an aggregated real time traffic utilization threshold. Further, we bring out the notion of "level of active sources" to explain the statistical multiplexing gains observed in delay variation.
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