{"title":"CWT: an efficient queue urgency metric with application to high-speed packet switching","authors":"M. Kahane, U. Barzilai, I. Elhanany","doi":"10.1109/ICCCN.2004.1401732","DOIUrl":null,"url":null,"abstract":"Determining queue urgency (or weight) is a fundamental challenge, particularly in the context of high-speed packet switching. Weighting schemes have significant impact on the decisions made by arbitration and/or scheduling mechanism, thus directly shaping the overall performance of the system. Various weight functions, including iterative longest-queue-first (iLQF) and iterative oldest-cell-first (iOCF) have been presented in the literature. However, existing schemes suffer from limited performance in the presence of non-ideal traffic patterns. In this paper, we introduce the cumulative waiting-time (CWT) queue-weighting scheme, which is a pragmatic mechanism for dynamically determining the queue weight based on its aggregated cells waiting time","PeriodicalId":229045,"journal":{"name":"Proceedings. 13th International Conference on Computer Communications and Networks (IEEE Cat. No.04EX969)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 13th International Conference on Computer Communications and Networks (IEEE Cat. No.04EX969)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCN.2004.1401732","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Determining queue urgency (or weight) is a fundamental challenge, particularly in the context of high-speed packet switching. Weighting schemes have significant impact on the decisions made by arbitration and/or scheduling mechanism, thus directly shaping the overall performance of the system. Various weight functions, including iterative longest-queue-first (iLQF) and iterative oldest-cell-first (iOCF) have been presented in the literature. However, existing schemes suffer from limited performance in the presence of non-ideal traffic patterns. In this paper, we introduce the cumulative waiting-time (CWT) queue-weighting scheme, which is a pragmatic mechanism for dynamically determining the queue weight based on its aggregated cells waiting time