論文

査読有り
2014年

Tight Analysis of Priority Queuing for Egress Traffic

COMBINATORIAL OPTIMIZATION AND APPLICATIONS (COCOA 2014)
  • Jun Kawahara
  • ,
  • Koji M. Kobayashi
  • ,
  • Tomotaka Maeda

8881
開始ページ
459
終了ページ
473
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-319-12691-3_34
出版者・発行元
SPRINGER-VERLAG BERLIN

Recently, the problems of evaluating performances of switches and routers have been formulated as online problems, and a great amount of results have been presented. In this paper, we focus on managing outgoing packets (called egress traffic) on switches that support Quality of Service (QoS), and analyze the performance of one of the most fundamental scheduling policies Priority Queuing (PQ) using competitive analysis. We formulate the problem of managing egress queues as follows: An output interface is equipped with m queues, each of which has a buffer of size B. The size of a packet is unit, and each buffer can store up to B packets simultaneously. Each packet is associated with one of m priority values alpha(j) (1 <= j <= m), where alpha(1) <= alpha(2) <= ... <= alpha(m), alpha(1) -1, and alpha(m) - alpha and the task of an online algorithm is to select one of m queues at each scheduling step. The purpose of this problem is to maximize the sum of the values of the scheduled packets.
For any B and any m, we show that the competitive ratio of PQ is exactly 2 -min(x is an element of)[1, m-1]{alpha(x) + 1 / Sigma(x + 1)(j = 1) alpha(j) }. That is, we conduct a complete analysis of the performance of PQ using worst case analysis. Moreover, we show that no deterministic online algorithm can have a competitive ratio smaller than 1 + alpha(3) + alpha(2) + alpha / alpha(4)+4 alpha(3)+3 alpha(2)+4 alpha+1.

リンク情報
DOI
https://doi.org/10.1007/978-3-319-12691-3_34
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000354861400034&DestApp=WOS_CPL
URL
http://theory.utdallas.edu/COCOA2014/program.html
ID情報
  • DOI : 10.1007/978-3-319-12691-3_34
  • ISSN : 0302-9743
  • Web of Science ID : WOS:000354861400034

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