分布式系统中的网络资源分配:一个全局优化框架

Z. Wesołowski
{"title":"分布式系统中的网络资源分配:一个全局优化框架","authors":"Z. Wesołowski","doi":"10.1109/CYBConf.2015.7175944","DOIUrl":null,"url":null,"abstract":"The paper proposes a global optimization approach to the network resource allocation problem, where the objective is to maximize the overall data flow through a shared network. In the proposed approach, the utility functions of agents may have different forms, which allows a more realistic modeling of phenomena occurring in computer networks. To solve the optimization problem, a modified gradient projection method has been applied.","PeriodicalId":177233,"journal":{"name":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Network resource allocation in distributed systems: A global optimization framework\",\"authors\":\"Z. Wesołowski\",\"doi\":\"10.1109/CYBConf.2015.7175944\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper proposes a global optimization approach to the network resource allocation problem, where the objective is to maximize the overall data flow through a shared network. In the proposed approach, the utility functions of agents may have different forms, which allows a more realistic modeling of phenomena occurring in computer networks. To solve the optimization problem, a modified gradient projection method has been applied.\",\"PeriodicalId\":177233,\"journal\":{\"name\":\"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBConf.2015.7175944\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBConf.2015.7175944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文提出了一种网络资源分配问题的全局优化方法,其目标是使共享网络中的整体数据流最大化。在提出的方法中,代理的效用函数可以有不同的形式,这允许对计算机网络中发生的现象进行更真实的建模。为了解决优化问题,采用了一种改进的梯度投影法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network resource allocation in distributed systems: A global optimization framework
The paper proposes a global optimization approach to the network resource allocation problem, where the objective is to maximize the overall data flow through a shared network. In the proposed approach, the utility functions of agents may have different forms, which allows a more realistic modeling of phenomena occurring in computer networks. To solve the optimization problem, a modified gradient projection method has been applied.
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