Network Traffic Analysis and Multiresolution Schemes for Homogenization

网络流量分析和同质化多分辨率方案

• 批准号: 9705665
• 负责人: Ronald Coifman
• 金额: $ 7.1万
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-10-01 至 1999-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9705665&HistoricalAwards=false
• 关键词: Network; Traffic; Analysis; Multiresolution; Schemes

An NSF-Industrial Postdoctoral Fellow, Anna C. Gilbert, carries out research jointly in the Department of Mathematics at Yale University and AT&T Labs-Research. The Faculty Mentor at Yale is Ronald Coifman, Professor of Mathematics, and the supervisor at AT&T is Dr. Walter Willinger. We envisage two general areas of research, both of which are of direct interest to AT&T: (1) wavelet techniques for analysis and performance management of network traffic, (2) wavelet techniques for homogenization of differential equations. The common element of these two areas is the use of wavelets to decompose a problem into many scales and to analyze which scales are crucial to solving the problem. The research which will be conducted with Dr. Walter Willinger at AT&T will include using wavelets to investigate the physical model of Willinger, et al, at a basic level. We want to model and to tune queues, switches, and other component network components in wavelet terms and then to derive the properties, in wavelet terms, of the corresponding self-similar behavior. There are so many data sets available and in such detail that we want to extract more detailed and more basic information than just the Hurst parameter. We want to build a structural model of the data and the networks which produce that data. The research which will be conducted with Prof. Ronald Coifman at Yale University will include extending the methods developed in Anna C. Gilbert's thesis. We will construct multiresolution methods for the reduction and homogenization of partial differential equations. We envision using these techniques in many different applications. In particular, we would like to use these homogenization techniques to reconstruct a rough surface off which electromagnetic waves are scattered. We would also compare the MRA homogenization methods for n-dimensional elliptic PDEs with the classical theory. Anna Gilbert completed her thesis under the supervision of I. Daubechies at Princ eton University in June, 1997. In it she compares the wavelet techniques for homogenization with classical analytical techniques, develops a wavelet method for homogenizing nonlinear ordinary differential equations, and applies these methods to a reaction-diffusion model. This GOALI project is jointly supported by the MPS Office of Multidisciplinary Activities (OMA) and the Division of Mathematical Sciences (DMS).

NSF工业博士后研究员，安娜C。吉尔伯特在耶鲁大学数学系和AT T实验室研究所联合开展研究。 耶鲁大学的导师是数学教授罗纳德·科夫曼，AT T的导师是沃尔特·威林格博士。 我们设想了两个一般性的研究领域，这两个领域都是AT T直接感兴趣&的：（1）用于网络流量分析和性能管理的小波技术;（2）用于微分方程均匀化的小波技术。 这两个领域的共同点是使用小波将问题分解为许多尺度，并分析哪些尺度对解决问题至关重要。 这项研究将与AT T的Walter Willinger博士一起进行，将包括使用小波在基本水平上研究Willinger等人的物理模型。 我们要建模和调整队列，开关和其他组件网络组件的小波术语，然后推导出的属性，在小波术语，相应的自相似行为。 有如此多的数据集可用，并且如此详细，以至于我们希望提取比Hurst参数更详细和更基本的信息。 我们希望建立一个数据和产生这些数据的网络的结构模型。 这项研究将与耶鲁大学的罗纳德科夫曼教授一起进行，包括扩展安娜C.吉尔伯特的论文。 我们将为偏微分方程的约化和均匀化构造多分辨方法。 我们设想在许多不同的应用中使用这些技术。 特别是，我们想使用这些均匀化技术来重建电磁波散射的粗糙表面。 我们也将比较的MRA均匀化方法的n维椭圆型偏微分方程与经典理论。 安娜吉尔伯特在I. 1997年6月，Daubechies在普林斯顿大学。 在其中，她比较了小波技术的均匀化与经典的分析技术，开发了一种小波方法的非线性常微分方程，并将这些方法应用于反应扩散模型。 该GOALI项目由MPS多学科活动办公室（OMA）和数学科学部（DMS）联合支持。