NeTS: Small: Analytic Tools for Evolving Path-Based Networks

NeTS：小型：用于演进的基于路径的网络的分析工具

• 批准号: 1618207
• 负责人: Mark Crovella
• 金额: $ 50万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-15 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1618207&HistoricalAwards=false
• 关键词: NeTS; Small; Analytic; Tools; Evolving

The Internet is collectively composed of tens of thousands of individual networks, operated independently. Data flows from one network to another over paths that reflect agreements between network providers to exchange traffic. The ability of the Internet to connect computers around the world depends on the establishment and maintenance of these paths using a complex set of protocols. Hence, understanding the set of paths used in the Internet at any given time is important for the Internet's continued smooth operation. Unfortunately there are relatively few good metrics and algorithms for gaining insight into how the Internet's paths are currently configured and how they are changing over time. This project is developing new methods to address the lack of good path analysis tools. Using these novel metrics and algorithms, this project's goal is to give insight into a wide range of questions, including identifying when data traffic may be being hijacked for malicious purposes, and when network operators shift their business strategies. The project is developing metrics based on Routing State Distance (RSD), and examining both micro-level questions (at the level of individual Autonomous Systems (ASes)) and macro-level questions (at the level of the whole Internet). At the micro level, the project is examining methods for identifying co-managed ASes, unusually-routed ASes, and shifts in the routing towards individual ASes. At the macro level, the project is assessing the "flattening" of the Internet and large-scale trends in the factors that drive unusual routing behavior. A key component of the project is the identification of where and how to do active measurement to most effectively obtain information about the global routing system. Broader Impact. The methods being develop have potential to guide improvements to Internet operation, which benefits society broadly. Results from this project will be presented to network operators to help guide future understanding of Internet routing. Additional broader impacts of this project are being felt through educational development and continued support for under-represented groups. As part of this project, the PI is developing learning modules and exercises focusing on network analysis for inclusion in his course "Computer Networks" as well as contributing modules for inclusion in the course "Tools and Techniques for Data Mining" which he is helping to develop. The PI is committed to the engagement of under-represented groups and women in his research, and currently supervises two female Ph.D. students.

互联网集体由成千上万个单独的网络组成，独立运行。 数据从一个网络流到另一个网络，反映了网络提供商之间的协议以交换流量。 Internet连接世界计算机的能力取决于使用一组复杂的协议的建立和维护。 因此，了解任何给定时间中互联网中使用的一系列路径对于互联网的持续平稳操作很重要。 不幸的是，相对较少的良好指标和算法可以深入了解Internet当前的配置方式以及它们随着时间的变化的变化。 该项目正在开发新方法，以解决缺乏良好的路径分析工具。使用这些新颖的指标和算法，该项目的目标是深入了解广泛的问题，包括确定何时出于恶意目的被劫持数据流量，以及网络运营商何时改变其业务策略。 该项目正在基于路由状态距离（RSD）开发指标，并检查了微观级别的问题（在单个自主系统（ASES））和宏观问题（在整个Internet级别上）。 在微观层面上，该项目正在研究识别共同管理，异常路由的ASE和路由向单个ASES的转移的方法。 在宏观层面上，该项目正在评估互联网的“变平”和推动异常路由行为的因素的大规模趋势。 该项目的关键组成部分是识别在何处以及如何进行主动测量以最有效地获取有关全球路由系统的信息。 更广泛的影响。 所开发的方法具有指导改进互联网运营的潜力，从而使社会受益匪浅。该项目的结果将呈现给网络运营商，以帮助指导对Internet路由的未来理解。 通过教育发展和对代表性不足的群体的持续支持，该项目的其他更广泛的影响正在感受到。作为该项目的一部分，PI正在开发学习模块和练习，重点关注网络分析，以将其包含在课程的“计算机网络”中，并贡献了他正在帮助开发的“数据挖掘工具和技术”课程中的模块。 PI致力于在他的研究中参与代表性不足的群体和妇女，目前监督两位女性博士学位。学生。