轮循公平排队:一种新的路由器分组调度算法

Arunabha Sen, Ibraz Mohammed, Ravikanth Samprathi, S. Bandyopadhyay
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引用次数: 11

摘要

多年来,人们提出了几种排队策略来确保服务点上竞争请求之间的公平性。Demers, Keshav和Shenkar(1990)提出的公平排队(fair queuing, FQ)算法是一种达到近乎完美公平的排队技术,其中完美公平被认为是流体流动模型所达到的。在数据网络中,行处理器头共享(PS)被认为是最公平的算法。已经证明,在任何时间,在任何队列中,对于FQ和PS规程之间的任何到达模式,吞吐量的差异永远不会超过MAX,其中MAX是最大数据包大小。这种吞吐量的差异被作为衡量排队算法公平性的指标。FQ算法的缺点是它的高数据包处理开销(O (log N)),其中N是活动流的数量。为了缓解这一计算复杂度高的问题,Shreedhar和Varghese(1996)提出了一种基于赤字轮询(DRR)思想的公平排队算法。尽管DRR将数据包处理开销降低到0(1),但其公平性度量(3MAX)比FQ (MAX)差得多。本文提出了一种新的基于轮询的公平排队算法(FQRR),该算法的分组处理开销为0(1),公平性度量为2MAX。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fair queuing with round robin: a new packet scheduling algorithm for routers
Over the years several queuing policies have been proposed to ensure fairness between competing requests at a service point. The fair queuing (FQ) algorithm due to Demers, Keshav and Shenkar (1990) is a queuing technique that attains near perfect fairness, where perfect fairness is considered to be the one attained by a fluid flow model. In a data network, the head of the line processor sharing (PS) is considered to be the most fair algorithm. It has been shown that the difference in throughput at any time, in any queue, for any arrival pattern between the FQ and the PS discipline will never exceed MAX, where MAX is the maximum packet size. This difference in throughput is taken as a metric for fairness measure of a queuing algorithm. The drawback of the FQ algorithm is its high packet processing overhead (O (log N)), where N is the number of active flows. To alleviate this problem of high computational complexity, Shreedhar and Varghese (1996) proposed a fair queuing algorithm based on the idea of deficit round robin (DRR). Although DRR reduces the packet processing overhead to O(1), its fairness measure is considerably worse (3MAX) than that of FQ (MAX). In this paper, we present a new round robin based fair queuing algorithm (FQRR) whose packet processing overhead is O(1) and fairness measure is 2MAX.
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