离散时间复用的加权公平阻塞机制

A. Conway, C. Rosenberg
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引用次数: 8

摘要

集成业务分组网络的一个主要挑战是设计支持不同QoS需求的分组多路复用系统。我们关注的是如何满足不同的损失要求。在时隙多路复用系统中,可能会有批到达(即,在一个时隙中同时到达),当可用缓冲区数量不足时,有必要拒绝批处理中的一些数据包。我们提出了一种简单而智能的概率机制来拒绝数据包,以满足丢失要求。它可以用作选择性丢弃机制,以提供不同的QoS级别的损失(加权公平阻塞)。它也可以用来实现公平(平衡公平屏蔽)。它提供了相对于现有方法的重要优势和收益,同时非常简单。它允许从丢弃机制的参数化中解耦缓冲区尺寸。它是通用的,因为它可以用在许多离散时间复用方案之上。与随机选择等自然拒绝方法相比,它还减少了满足损失要求所需的缓冲空间。明确地推导了两个马尔可夫调制伯努利源的机制。对于任意数目的伯努利源的推导被表述为一个线性规划问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weighted fair blocking mechanisms for discrete-time multiplexing
A major challenge in integrated services packet networks is the design of packet multiplexing systems to support different QoS requirements. We focus on the problem of satisfying different loss requirements. In time-slotted multiplexing systems, one may have batch arrivals (i.e., simultaneous arrivals in a time slot), and it is necessary to reject some of the packets in a batch when there is an insufficient number of available buffers. We propose a simple and intelligent probabilistic mechanism for rejecting packets in order to meet the loss requirements. It may be used as a selective discard mechanism to provide different QoS levels in terms of loss (weighted fair blocking). It may also be used to achieve fairness (balanced fair blocking). It offers important advantages and gains relative to existing approaches while being very simple. It allows decoupling of buffer dimensioning from the parameterization of a discard mechanism. It is universal in the sense that it may be used on top of many discrete-time multiplexing schemes. It also reduces the buffer space needed to meet loss requirements compared to natural rejection methods such as random selection. The mechanism is derived explicitly for two Markov modulated Bernoulli sources. The derivation for an arbitrary number of Bernoulli sources is formulated as a linear programming problem.
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