Asymptotic behavior of a critical fluid model for bandwidth sharing with general file size distributions

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Yingjia Fu, Ruth J. Williams
{"title":"Asymptotic behavior of a critical fluid model for bandwidth sharing with general file size distributions","authors":"Yingjia Fu, Ruth J. Williams","doi":"10.1214/21-aap1723","DOIUrl":null,"url":null,"abstract":"This work concerns the asymptotic behavior of solutions to a critical fluid model for a data communication network, where file sizes are generally distributed and the network operates under a fair bandwidth sharing policy, chosen from the family of (weighted) α-fair policies introduced by Mo and Walrand [18]. Solutions of the fluid model are measure-valued functions of time. Under law of large numbers scaling, Gromoll and Williams [8] proved that these solutions approximate dynamic solutions of a flow level model for congestion control in data communication networks, introduced by Massoulié and Roberts [17]. In a recent work [6], we proved stability of the strictly subcritical version of this fluid model under mild assumptions. In the current work, we study the asymptotic behavior (as time goes to infinity) of solutions of the critical fluid model, in which the nominal load on each network resource is less than or equal to its capacity and at least one resource is fully loaded. For this we introduce a new Lyapunov function, inspired by the work of Kelly and Williams [14], Mulvany et al. [19] and Paganini et al. [20]. Using this, under moderate conditions on the file size distributions, we prove that critical fluid model solutions converge uniformly to the set of invariant states as time goes to infinity, when started in suitable relatively compact sets. We expect that this result will play a key role in developing a diffusion approximation for the critically loaded flow level model of Massoulié and Roberts [17]. Furthermore, the techniques developed here may be useful for studying other stochastic network models with resource sharing. ∗Research supported in part by NSF grants DMS-1206772 and DMS-1712974, and the Charles Lee Powell Foundation. A preliminary form of some of the material in this paper was featured in the Le Cam Lecture delivered by RJW at the IMS Annual Meeting held in Vilnius, Lithuania, in July 2018. †Department of Mathematics, University of California, San Diego, 9500 Gilman Drive, La Jolla CA 92093-0112. Email: yif051@ucsd.edu. ‡Department of Mathematics, University of California, San Diego, 9500 Gilman Drive, La Jolla CA 92093-0112. Email: rjwilliams@ucsd.edu. MSC2020 Mathematics Subject Classification: Primary 60F99, 60K30, 90B10; Secondary 60J25, 60K25, 90B18.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1214/21-aap1723","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 2

Abstract

This work concerns the asymptotic behavior of solutions to a critical fluid model for a data communication network, where file sizes are generally distributed and the network operates under a fair bandwidth sharing policy, chosen from the family of (weighted) α-fair policies introduced by Mo and Walrand [18]. Solutions of the fluid model are measure-valued functions of time. Under law of large numbers scaling, Gromoll and Williams [8] proved that these solutions approximate dynamic solutions of a flow level model for congestion control in data communication networks, introduced by Massoulié and Roberts [17]. In a recent work [6], we proved stability of the strictly subcritical version of this fluid model under mild assumptions. In the current work, we study the asymptotic behavior (as time goes to infinity) of solutions of the critical fluid model, in which the nominal load on each network resource is less than or equal to its capacity and at least one resource is fully loaded. For this we introduce a new Lyapunov function, inspired by the work of Kelly and Williams [14], Mulvany et al. [19] and Paganini et al. [20]. Using this, under moderate conditions on the file size distributions, we prove that critical fluid model solutions converge uniformly to the set of invariant states as time goes to infinity, when started in suitable relatively compact sets. We expect that this result will play a key role in developing a diffusion approximation for the critically loaded flow level model of Massoulié and Roberts [17]. Furthermore, the techniques developed here may be useful for studying other stochastic network models with resource sharing. ∗Research supported in part by NSF grants DMS-1206772 and DMS-1712974, and the Charles Lee Powell Foundation. A preliminary form of some of the material in this paper was featured in the Le Cam Lecture delivered by RJW at the IMS Annual Meeting held in Vilnius, Lithuania, in July 2018. †Department of Mathematics, University of California, San Diego, 9500 Gilman Drive, La Jolla CA 92093-0112. Email: yif051@ucsd.edu. ‡Department of Mathematics, University of California, San Diego, 9500 Gilman Drive, La Jolla CA 92093-0112. Email: rjwilliams@ucsd.edu. MSC2020 Mathematics Subject Classification: Primary 60F99, 60K30, 90B10; Secondary 60J25, 60K25, 90B18.
具有一般文件大小分布的带宽共享临界流体模型的渐近行为
这项工作涉及数据通信网络的临界流体模型的解的渐近行为,其中文件大小通常是分布的,网络在公平的带宽共享策略下运行,该策略选自Mo和Walrand[18]引入的(加权)α-公平策略家族。流体模型的解是时间的测度值函数。在大数标度定律下,Gromoll和Williams[8]证明了这些解近似于Massoulié和Roberts[17]提出的数据通信网络拥塞控制的流级模型的动态解。在最近的一项工作[6]中,我们证明了该流体模型的严格亚临界版本在温和假设下的稳定性。在目前的工作中,我们研究了临界流体模型解的渐近行为(随着时间的推移),其中每个网络资源上的标称负载小于或等于其容量,并且至少有一个资源满载。为此,我们引入了一个新的李雅普诺夫函数,其灵感来自Kelly和Williams[14]、Mulvany等人[19]和Paganini等人[20]的工作。利用这一点,在文件大小分布的中等条件下,我们证明了当在合适的相对紧凑的集合中开始时,随着时间的推移,临界流体模型解一致收敛于不变状态集。我们预计,这一结果将在为Massoulié和Roberts[17]的临界负载流量水平模型开发扩散近似方面发挥关键作用。此外,这里开发的技术可能有助于研究其他具有资源共享的随机网络模型。*部分由美国国家科学基金会拨款DMS-1206772和DMS-1712974以及查尔斯·李·鲍威尔基金会支持的研究。2018年7月,RJW在立陶宛维尔纽斯举行的IMS年会上发表的Le Cam演讲中介绍了本文中一些材料的初步形式。†加州大学圣地亚哥分校数学系,加利福尼亚州拉霍亚Gilman Drive 9500号,邮编92093-0112。电子邮件:yif051@ucsd.edu.⏹加州大学圣地亚哥分校数学系,加利福尼亚州拉霍亚市吉尔曼大道9500号,邮编92093-0112。电子邮件:rjwilliams@ucsd.edu.MSC2020数学学科分类:小学60F99、60K30、90B10;次级60J25、60K25、90B18。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
×
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:481959085
Book学术官方微信