ATM网络ABR流量管理中自适应随机与ERICA切换算法的比较评价

S. Petrovic
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引用次数: 1

摘要

比较了ATM网络中两种基于显式速率的ABR业务拥塞控制方案:显式速率指示的拥塞避免(ERICA)和提出的自适应随机(AS)在重载条件下的性能。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、排队延迟方差和队列大小。一个简单的网络拓扑包括一个ATM交换节点,该节点被建模为单个服务器排队系统,由许多高度突发的流量源提供服务。在模拟中使用了小爆发和大爆发。可控制流量源的允许小区速率(ACR)由交换机的显式反馈消息动态塑造。仿真研究结果表明,在保留ERICA方案的利用率的同时,AS方案能够提供更高的ATM局域网优先级、更短的排队延迟、排队延迟方差、最大和平均队列大小。
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Comparative evaluation of adaptive stochastic and ERICA switch algorithms for ABR traffic management in ATM networks
Performances of two explicit rate based congestion control schemes for ABR service in ATM networks: Explicit Rate Indication for Congestion Avoidance (ERICA) and 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, queuing delay variance and queue size. A simple network topology involves an ATM switching node modeled as a single server queuing system, fed by a number of highly bursty traffic sources. Small and large bursts are used in simulations. The controllable traffic sources' allowed cell rates (ACR) are dynamically shaped by the explicit feedback messages from the switch. The results of a simulation study suggest that AS scheme can provide for higher priority traffic in ATM LANs, shorter queuing delay, queuing delay variance, maximum and mean queue size, while retaining ERICA scheme's utilization.
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