ITR: RAFONET - A Versatile and Scalable Approach for Optical Network Design and Analysis

ITR：RAFONET - 一种用于光网络设计和分析的多功能且可扩展的方法

• 批准号: 0312563
• 负责人: Chunming Qiao
• 金额: $ 34.9万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-15 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0312563&HistoricalAwards=false
• 关键词: ITR; RAFONET; Versatile; Scalable; Approach

To address the lack of versatile and scalable tools in the relatively new optical networking field, the research project proposes to conduct fundamental research on developing a novel approach called RAFONET (Rational Approximation For Optical Networks) for optical network design and analysis. RAFONET, which integrates advanced analytic and numerical techniques, will make it possible to evaluate many hard-to-measure yet crucial performance metrics in optical networks with a large number of wavelengths, various switching paradigms and associated protocols much faster and more accurate than before under a unified framework.In the application area, the PIs will apply the RAFONET approach to evaluate optical networks with optical circuit-switching (OCS) e.g., wavelength routing, or optical packet/burst switching (OPS/OBS). In addition, the proposed research project will compare OCS and OPS/OBS to determine, for example, how much resources is needed by OCS, and OPS/OBS to support a set of common input traffic streams that include periodic (e.g., voice) and aperiodic (e.g., data) traffic. In the algorithmic area, the PIs will study the effects of simulation errors on the performance of the rational approximation algorithm, and obtain some analytical results in bounding the interpolation errors when the sampling error is bounded by a polynomial for example. The PIs will also develop new methods based on, e.g., the combination of rational interpolation and cross entropy to combat such errors. Finally, the PIs will research the applicable scope and theoretic validation of the transformations applied in rational approximation algorithm. The ITR project will also develop course materials on numerical methods in optical network analysis, as well as other related topics.

为了解决在相对较新的光网络领域缺乏通用和可扩展的工具的问题，该研究项目建议进行基础研究，开发一种称为RAFONET（光网络的合理近似）的新方法，用于光网络设计和分析。RAFONET集成了先进的分析和数值技术，它将使人们有可能在一个统一的框架下，更快、更准确地评估具有大量波长、各种交换模式和相关协议的光网络中许多难以测量但至关重要的性能指标。PI将应用RAFONET方法来评估具有光电路交换（OCS）的光网络，波长路由或光分组/突发交换（OPS/OBS）。此外，所提出的研究项目将比较OCS和OPS/OBS，以确定例如OCS和OPS/OBS需要多少资源来支持一组公共输入业务流，这些业务流包括周期性的（例如，语音）和非周期性（例如，数据）业务。在算法方面，PI将研究模拟误差对有理逼近算法性能的影响，并获得一些分析结果，例如当采样误差由多项式限制时，限制插值误差。PI还将开发新的方法，例如，结合有理插值和交叉熵来对抗这种错误。最后，研究人员将研究有理逼近算法中应用的变换的适用范围和理论验证。ITR项目还将编制关于光网络分析中的数值方法以及其他相关专题的课程材料。