{"title":"Optimal resource assignment in Internet data centers","authors":"Xiaoyun Zhu, S. Singhal","doi":"10.1109/MASCOT.2001.948854","DOIUrl":null,"url":null,"abstract":"This paper presents a resource model that describes the computing and networking components in a resource sharing environment in an Internet Data Center (IDC), a model for multi-tier applications that need to be deployed in this environment, and an optimization problem for resource assignment aimed at minimizing the communication delay between the servers. A number of techniques are introduced to search for the optimal/suboptimal solutions. These include projection of the solution set, partition of the network and pruning of the search space, and local clustering for large problems. Results are given for two examples to demonstrate the effectiveness of the algorithms.","PeriodicalId":375127,"journal":{"name":"MASCOTS 2001, Proceedings Ninth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MASCOTS 2001, Proceedings Ninth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASCOT.2001.948854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27

Abstract

This paper presents a resource model that describes the computing and networking components in a resource sharing environment in an Internet Data Center (IDC), a model for multi-tier applications that need to be deployed in this environment, and an optimization problem for resource assignment aimed at minimizing the communication delay between the servers. A number of techniques are introduced to search for the optimal/suboptimal solutions. These include projection of the solution set, partition of the network and pruning of the search space, and local clustering for large problems. Results are given for two examples to demonstrate the effectiveness of the algorithms.
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互联网数据中心的资源优化分配
本文提出了一个描述互联网数据中心(IDC)资源共享环境中计算和网络组件的资源模型,一个需要在该环境中部署的多层应用程序的模型,以及一个以最小化服务器间通信延迟为目标的资源分配优化问题。引入了许多技术来搜索最优/次优解。其中包括解决方案集的投影、网络的划分和搜索空间的修剪,以及大型问题的局部聚类。通过两个算例验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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