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Delay analysis for CBR traffic in static-priority scheduling: single-node and heterogeneous CBR traffic case

机译:静态优先级调度中CBR流量的延迟分析:单节点和异构CBR流量情况

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In the integrated service networks, the real-time traffic and the non-real-time traffic share the network resources so that one can affect the quality of another and vice versa. In this context, it is very crucial to develop some mechanism to guarantee the quality-of-service (QoS) required by the real-time traffic. In this paper, we analyze the delay time of CBR packets from real-time sources when CBR packets have the priority over UBR packets in a manner that UBR packets are serviced only if no CBR packets are waiting in the buffer. There are two types of CBR packets; i.e., they are different in their transmission rate and/or packet length. In this sense, the case treated is called the heterogeneous case. We obtain various numerical results on the statistical bound on delay time such as the 99.9-percentile delay and compare it with the deterministic bound. By the comparison, we show that call admission control (CAC) based upon the statistical bound is very effective in using the network resources efficiently when CBR packets can tolerate some loss due to late arrival. We also examine whether the delay time distribution in the heterogeneous case can be approximated by that of some homogeneous cases.
机译:在集成服务网络中,实时流量和非实时流量共享网络资源,因此一个可以影响另一个的质量,反之亦然。在这种情况下,开发某种机制以保证实时流量所需的服务质量(QoS)非常重要。在本文中,我们分析了当CBR数据包比UBR数据包具有优先级时,来自实时源的CBR数据包的延迟时间,这种方式是只有在缓冲区中没有CBR数据包等待时,才为UBR数据包提供服务。有两种类型的CBR数据包:即,它们的传输速率和/或分组长度不同。从这个意义上讲,处理过的案例称为异类案例。我们获得了关于延迟时间的统计界限(例如99.9%延迟)的各种数值结果,并将其与确定性界限进行比较。通过比较,我们表明,当CBR数据包可以容忍由于迟到而造成的某些损失时,基于统计范围的呼叫准入控制(CAC)在有效利用网络资源方面非常有效。我们还研究了异构情况下的延迟时间分布是否可以近似于某些同类情况下的延迟时间分布。

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