最大最小亏缺轮询的可变长度报文流到多个服务器的公平调度

J. Khamse-Ashari, G. Kesidis, I. Lambadaris, B. Urgaonkar, Yiqiang Q. Zhao
{"title":"最大最小亏缺轮询的可变长度报文流到多个服务器的公平调度","authors":"J. Khamse-Ashari, G. Kesidis, I. Lambadaris, B. Urgaonkar, Yiqiang Q. Zhao","doi":"10.1109/CISS.2016.7460534","DOIUrl":null,"url":null,"abstract":"We describe a scheduler based on deficit-round robin (DRR) for multiple servers of multiple packet-flows, where each packet-flow may be served by only a subset of available (preferred) servers. The scheduler uses a token allocation algorithm that is weighted max-min fair, and so we've called it Multi-Server Max-min Fair DRR (MSMF-DRR). The scheduler also compensates for potential errors in estimates of server capacities when determining token allocations, and considers service underflow resulting in unused tokens at the end of a round. Numerical examples are given to illustrate how the scheduler itself is weighted max-min fair.","PeriodicalId":346776,"journal":{"name":"2016 Annual Conference on Information Science and Systems (CISS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Max-min Fair scheduling of variable-length packet-flows to multiple servers by deficit round-robin\",\"authors\":\"J. Khamse-Ashari, G. Kesidis, I. Lambadaris, B. Urgaonkar, Yiqiang Q. Zhao\",\"doi\":\"10.1109/CISS.2016.7460534\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe a scheduler based on deficit-round robin (DRR) for multiple servers of multiple packet-flows, where each packet-flow may be served by only a subset of available (preferred) servers. The scheduler uses a token allocation algorithm that is weighted max-min fair, and so we've called it Multi-Server Max-min Fair DRR (MSMF-DRR). The scheduler also compensates for potential errors in estimates of server capacities when determining token allocations, and considers service underflow resulting in unused tokens at the end of a round. Numerical examples are given to illustrate how the scheduler itself is weighted max-min fair.\",\"PeriodicalId\":346776,\"journal\":{\"name\":\"2016 Annual Conference on Information Science and Systems (CISS)\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Annual Conference on Information Science and Systems (CISS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISS.2016.7460534\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Annual Conference on Information Science and Systems (CISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS.2016.7460534","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

我们描述了一个基于赤字轮询(DRR)的调度程序,用于多个数据包流的多个服务器,其中每个数据包流只能由可用(首选)服务器的一个子集提供服务。调度器使用加权最大最小公平的令牌分配算法,因此我们称之为多服务器最大最小公平DRR (MSMF-DRR)。调度器还在确定令牌分配时补偿估计服务器容量中的潜在错误,并考虑在一轮结束时导致未使用令牌的服务溢出。给出了数值例子来说明调度程序本身是如何加权最大最小公平的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Max-min Fair scheduling of variable-length packet-flows to multiple servers by deficit round-robin
We describe a scheduler based on deficit-round robin (DRR) for multiple servers of multiple packet-flows, where each packet-flow may be served by only a subset of available (preferred) servers. The scheduler uses a token allocation algorithm that is weighted max-min fair, and so we've called it Multi-Server Max-min Fair DRR (MSMF-DRR). The scheduler also compensates for potential errors in estimates of server capacities when determining token allocations, and considers service underflow resulting in unused tokens at the end of a round. Numerical examples are given to illustrate how the scheduler itself is weighted max-min fair.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信