ATM网络中的ABR业务:保证最小小区速率的自适应随机和ERICA流量控制方案的性能比较

S. Petrovic
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引用次数: 2

摘要

在重载条件下,比较了ATM网络中两种基于显式速率的拥塞避免流控制方案:显式速率指示的拥塞避免(ERICA)和提出的自适应随机(AS)。这两种方案都没有规定特定的交换机架构。测试的需求包括:利用率、排队延迟、延迟方差和队列大小。一个简单的网络拓扑涉及一个ATM交换节点,该节点被建模为一个由许多高度突发的流量源提供的单个服务器排队系统。既不包括包丢弃,也不包括包重传机制。可控源的允许细胞速率(ACR)由来自开关的显式反馈信息动态塑造。仿真研究的结果表明,AS方案可以提供更高优先级的流量,相当短的排队延迟、延迟方差和平均队列大小,特别是在较短的链路上,利用率略低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ABR service in ATM networks: performance comparison between adaptive stochastic and ERICA flow control schemes with guaranteed minimum cell rate
Two explicit rate-based flow control schemes for congestion avoidance in ATM networks: explicit rate indication for congestion avoidance (ERICA) and a proposed adaptive stochastic (AS), are compared under heavy load conditions. Neither of the schemes dictates a particular switch architecture. The requirements tested include: utilization, queuing delay, delay variance and queue size. A simple network topology involves an ATM switching node which is modeled as a single server queuing system fed by a number of highly bursty traffic sources. Neither packet discarding, nor packet retransmission mechanisms are included. The controllable sources' allowed cell rates (ACR) have been dynamically shaped by the explicit feedback messages from the switch. The results of a simulation study are presented which suggest that the AS scheme can provide for higher priority traffic considerably shorter queuing delay, delay variance and average queue size, particularly on shorter links, with slightly lower utilization.
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