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

基本信息

  • 批准号:
    0238348
  • 负责人:
  • 金额:
    $ 42.73万
  • 依托单位:
  • 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:
    2003-08-15 至 2008-07-31
  • 项目状态:
    已结题

项目摘要

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.
PI的长期职业目标是帮助将Internet转变为健壮、稳定和安全的路由基础设施,以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所扮演的关键角色,当前的路由体系结构令人惊讶地脆弱。光纤切断、故障或配置错误的设备以及恶意攻击(例如Nimda蠕虫)导致了全球连接的大范围中断。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,一个基本的出发点是对广域故障场景的彻底描述,以及它们对流量转发平面的影响程度。通过与Sprint的合作,PI将监控运营的一级互联网服务提供商的主干,以收集路由和流量数据。基于对数据的连续调节,将推导出一个广域故障(WARF)模型,该模型可被研究团体用于在模拟或试验台环境中产生实际故障。PI将承担补充工作,设计一个统计BGP异常检测器,自动区分异常和预期路由行为的过程。在创建历史概要文件和执行短期测试时,该设计遵循基本的入侵检测原则。3. PI将通过设计和开发覆盖策略控制体系结构(OPCA)来研究策略路由的替代方法,该体系结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核中是有保证的。PI将设计一个路由自省和反馈系统(RIFS),为上层实体(如覆盖网络和传输或应用层代理)提供及时反馈。将扩展我们的研究,探索一个混合信道编码和重传方案,以优化视频流基于检测故障和路由回路。这项工作的成果是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的连接的关键,这将对社会应用产生广泛的影响。在这个项目中测试的假设和方法将有助于推进广域路由领域的知识,并为分析其他大规模分布式系统的可靠性问题奠定基础。将在这个项目中开发的故障模型、工具和原型通过出版物和培训研讨会提供给其他研究人员。PI的教育使命是通过将实际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将通过与加州大学戴维斯分校的工程女性(WIE)和数学、工程和科学成就(MESA)项目合作,积极招募未被充分代表的女性和少数族裔学生参加工程课程和她的研究项目。

项目成果

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Chen-Nee Chuah其他文献

The Joint Optimization of Online Traffic Matrix Measurement and Traffic Engineering For Software-Defined Networks
软件定义网络的在线流量矩阵测量和流量工程联合优化
  • DOI:
    10.1109/tnet.2019.2957008
  • 发表时间:
    2020-02
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiong Wang;Qi Deng;Jing Ren;Mehdi Malboubi;Sheng Wang;Shizhong Xu;Chen-Nee Chuah
  • 通讯作者:
    Chen-Nee Chuah
Inter-domain collaborative routing (IDCR): Server selection for optimal client performance
  • DOI:
    10.1016/j.comcom.2011.04.002
  • 发表时间:
    2011-09-15
  • 期刊:
  • 影响因子:
  • 作者:
    Martin O. Nicholes;Chen-Nee Chuah;S. Felix Wu;Biswanath Mukherjee
  • 通讯作者:
    Biswanath Mukherjee
RED-BL: Evaluating dynamic workload relocation for data center networks
  • DOI:
    10.1016/j.comnet.2014.07.001
  • 发表时间:
    2014-10-29
  • 期刊:
  • 影响因子:
  • 作者:
    Muhammad Saqib Ilyas;Saqib Raza;Chao-Chih Chen;Zartash Afzal Uzmi;Chen-Nee Chuah
  • 通讯作者:
    Chen-Nee Chuah
254 Social determinants of health improves prediction for postpartum readmissions due to preeclampsia
  • DOI:
    10.1016/j.ajog.2023.11.276
  • 发表时间:
    2024-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Lihong Mo;Shivam RaiSharma;Nimerta Sandhu;Herman L. Hedriana;Zahabiya H. Chithiwala;Anna Curtin;Chen-Nee Chuah
  • 通讯作者:
    Chen-Nee Chuah
Software defined network inference with evolutionary optimal observation matrices
  • DOI:
    10.1016/j.comnet.2017.09.001
  • 发表时间:
    2017-12-24
  • 期刊:
  • 影响因子:
  • 作者:
    Mehdi Malboubi;Yanlei Gong;Zijun Yang;Xiong Wang;Chen-Nee Chuah;Puneet Sharma
  • 通讯作者:
    Puneet Sharma

Chen-Nee Chuah的其他文献

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{{ truncateString('Chen-Nee Chuah', 18)}}的其他基金

NeTS: Medium: Collaborative Research: Towards Building Time Capsule for Online Social Activities
NeTS:媒介:协作研究:为在线社交活动构建时间胶囊
  • 批准号:
    1302691
  • 财政年份:
    2013
  • 资助金额:
    $ 42.73万
  • 项目类别:
    Standard Grant
NeTS: Small: Beating the Odds in Traffic Measurements/Detection with Optimal Online Learning and Adaptive Policies
NeTS:小型:通过最佳在线学习和自适应策略克服流量测量/检测中的困难
  • 批准号:
    1321115
  • 财政年份:
    2013
  • 资助金额:
    $ 42.73万
  • 项目类别:
    Standard Grant
Student Travel Support for the 2010 Internet Measurement Conference
2010 年互联网测量会议的学生旅行支持
  • 批准号:
    1047631
  • 财政年份:
    2010
  • 资助金额:
    $ 42.73万
  • 项目类别:
    Standard Grant
NeTS: Medium: Collaborative Research: Towards Versatile and Programmable Measurement Architecture for Future Networks
NeTS:媒介:协作研究:面向未来网络的多功能和可编程测量架构
  • 批准号:
    0905273
  • 财政年份:
    2009
  • 资助金额:
    $ 42.73万
  • 项目类别:
    Standard Grant
Student Travel Support for the 2009 Internet Measurement Conference
2009 年互联网测量会议学生旅行支持
  • 批准号:
    0943095
  • 财政年份:
    2009
  • 资助金额:
    $ 42.73万
  • 项目类别:
    Standard Grant
Collaborative Research: CT-ISG: Accurate Sampling of the Internet for Effective Anomaly Detection
合作研究:CT-ISG:准确的互联网采样以实现有效的异常检测
  • 批准号:
    0716831
  • 财政年份:
    2007
  • 资助金额:
    $ 42.73万
  • 项目类别:
    Continuing Grant
NeTS-NBD: Automatic Validation, Optimization, and Adaptation of Distributed Firewalls for Network Performance and Security
NeTS-NBD:分布式防火墙的自动验证、优化和适应,以实现网络性能和安全
  • 批准号:
    0520320
  • 财政年份:
    2005
  • 资助金额:
    $ 42.73万
  • 项目类别:
    Standard Grant

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