课题基金 / 基金详情

CAREER: Robust, Stable and Secure Routing via a vertically integrated monitoring and introspection system

CAREER: Robust, Stable and Secure Routing via a vertically integrated monitoring and introspection system
职业:通过垂直集成的监控和自省系统实现稳健、稳定和安全的路由
批准号:
0238348
负责人:
Chen-Nee Chuah
金额:
$42.73万
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
项目状态:
已结题
起止时间:
2003-08-15 至 2008-07-31

项目摘要

项目成果

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中文摘要
翻译
PI的长期职业目标是帮助将互联网转变为强大、稳定和安全的路由基础设施,提供高度可靠和可预测的性能。 考虑到互联网在我们日常生活中扮演的重要角色,当前的路由架构令人惊讶地脆弱。 光纤切断、故障或错误配置的设备以及恶意攻击(例如,Nimda蠕虫)已经导致了全球连通性大范围丧失。为了实现我们的愿景,我们制定了以下四个研究议程:1。PI认为,一个重要的出发点是彻底描述广域故障场景,以及它们对流量转发平面的影响程度。通过PI与Sprint的合作,将监控运营的一级互联网服务提供商的骨干网,以收集路由和流量数据。基于连续条件的数据,将推导出广域故障(WARF)模型,该模型可供研究界用于在模拟或试验台环境中生成真实的故障。PI将承担一项补充工作,设计一个统计BGP异常检测器,自动区分异常和预期的路由行为的过程。 该设计遵循基本的入侵检测原则,创建一个历史的配置文件,并执行短期测试。3. PI将通过设计和开发覆盖策略控制架构(OPCA)来研究策略路由的替代方法,该架构有助于快速路由收敛和流量工程。OPCA将允许在域内和域间路由中同时使用多种类型的度量,并说明这种功能在IP核心中是有保证的。PI将设计一个路由内省和反馈系统(RIFS),提供及时的反馈给更高层的实体,如覆盖网络和传输或应用层代理。 将扩展我们的研究,探索一种混合信道编码和重传方案,以优化基于故障和路由环路检测的视频流。这项工作的成果致力于通过使核心互联网更加可靠和稳定来实现基于互联网的分布式计算。 跨异构网络(包括无线和卫星)的有效路由是实现真正无处不在连接的关键,这将对社会应用产生广泛影响。本研究所提出的假设和方法将有助于提高广域路由领域的知识水平,并为分析其他大型分布式系统的可靠性问题奠定基础。将使失败的模型,工具,并在这个项目中开发的原型提供给其他研究人员在线,并通过出版物和培训讲习班。PI的教育使命是通过将现实生活中的操作经验和广域互联网行为的轶事纳入课堂教学,培养本科生和研究生成为有能力的网络工程师。这包括开发一个顶点设计课程,让学生在网络管理和路由模块的实践经验。PI将积极招募代表性不足的妇女和少数民族学生进入工程课程和她的研究项目,通过与妇女在工程(WIE)和数学,工程和科学成就(梅萨)计划在U。C.戴维斯
英文摘要
The long-term career goal of the PI is to help transform the Internet into a robust, stable, and secure routing infrastructure that delivers highly reliable and predictable performance. Considering the critical role that the Internet plays in our day-to-day lives, the current routing architecture is surprisingly fragile. Fiber cuts, faulty or mis-configured equipment, and malicious attacks (e.g., the Nimda worm) have led to a widespread loss of global connectivity. To achieve our vision, we have developed the following four research agendas: 1. PI argue that an essential starting point is a thorough characterization of wide-area failure scenarios and how much they impact the traffic-forwarding plane. Through the PI's collaboration with Sprint, will monitor an operational Tier-1 Internet Service Provider's backbone to collect routing and traffic data. Based on successive conditioning of the data, will derive a wide-area failure (WARF) model that can be used by the research community to generate realistic failures in simulation or testbed environments.2. PI will undertake a complementary effort to design a statistical BGP anomaly detector that automates the process of differentiating abnormal and expected routing behavior. The design follows basic intrusion detection principles in creating a historical profile and performing short-term testing. 3. PI will investigate an alternative approach to policy routing by designing and developing an Overlay Policy Control Architecture (OPCA) that facilitates fast route convergence and traffic engineering. OPCA will allow the concurrent use of multiple types of metrics in intra- and inter-domain routing, and illustrate that such functionality is warranted in the IP core.4. PI will design a Routing Introspection and Feedback System (RIFS) that provides timely feedback to higher-layer entities such as overlay networks and transport or application layer proxies. will extend our study to explore a hybrid channel coding and retransmission scheme to optimize video streaming based on detection of failures and routing loops. The outcome of this work strives to enable Internet-based distributed computing by making the core Internet more reliable and stable. Effective routing across heterogeneous networks (including wireless and satellite) is the key to truly ubiquitous connectivity, which will have a broad impact on societal applications. The hypothesis and methodologies tested in this project will help advance the knowledge in the field of wide-area routing and form a foundation for analyzing the reliability issues of other large-scale distributed systems. Will make the failure models, tools, and prototypes developed in this project available to other researchers online and via publications and training workshops. The PI's educational mission is to train undergraduate and graduate students to become capable network engineers by incorporating real-life operational experience and anecdotes of wide-area Internet behavior into classroom teaching. This includes developing a capstone design course that gives students hands-on experience in network management and routing modules. The PI will actively recruit underrepresented women and minority students into the engineering curriculum and her research projects by collaborating with the Women in Engineering (WIE) and the Mathematics, Engineering, and Science Achievement (MESA) programs at U. C. Davis.
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会议论文
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