速率-延迟服务曲线的严格性

U. Klehmet, K. Hielscher
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引用次数: 1

摘要

网络微积分(Network Calculus, NC)为排队系统的性能评估,特别是通信网络的最坏情况分析提供了强有力的方法。在分组交换通信系统中,它通常用于获得QoS保证。当前研究的一个问题是NC对多路流的适用性,特别是在合并单个流时不能假设FIFO属性。如果一个节点使用比FIFO不同的调度服务于不同的流,术语“严格”或“非严格”服务曲线起重要作用。本文研究了与聚合调度相关的严格和非严格服务曲线问题。在文献中,当业务节点以Non-FIFO方式处理输入流时,聚合流服务曲线的严密性被认为是得到解复用时单个流服务曲线的基本前提。重要的严格性被假定为服务曲线的唯一特征。但这里我们要说明的是,这个假设一般来说是不成立的。只有与具体输入的连接允许将服务分类为曲线严格或
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strictness of Rate-latency Service Curves
Network Calculus (NC) offers powerful methods for performance evaluation of queueing systems, especially for the worst-case analysis of communication networks. It is often used to obtain QoS guarantees in packet switched communication systems. One issue of nowadays’ research is the applicability of NC for multiplexed flows, in particular, if the FIFO property cannot be assumed when merging the individual flows. If a node serves the different flows using another schedule than FIFO, the terms ’strict’ or ’non-strict’ service curves play an important role. In this paper, we are dealing with the problems of strict and non-strict service curves in connection with aggregate scheduling. In the literature, the strictness of the service curve of the aggregated flow is reported as a fundamental precondition to get a service curve for the single individual flows at demultiplexing, if the service node process the input flows in Non-FIFO manner. The important strictness-property is assumed to be a unique feature of the service curve alone. But we will show here that this assumption is not true in general. Only the connection with the concrete input allows to classify a service as curve strict or
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