CAREER: Intent-Based Network Management

基于意图的网络管理这项研究正在开发一个框架，用于使用基于意图的网络管理方法更好地管理IP网络，以解决与管理复杂的IP网络相关的性能和健壮性问题。目标是通过只需要高级目标作为输入来自动生成所需的网络配置，同时还确保网络级别的目标，如性能和可靠性。这项研究开发了适用于管理当前和未来网络的设计原则，并为设计可管理性网络提供了洞察力。该框架使用基于抽象的表示法，使高层规范能够自动执行底层任务，从而可以直接管理网络。该框架解决了当今网络管理中的三个主要障碍：可见性不足，无法预测网络配置变化的结果，以及由于类似汇编语言的接口而导致的配置中的隐藏错误。该研究开发了以下关键技术：(1)基于测量的网络协议操作模型的推导，以引出未记录的限制行为。(2)量化测量方法的局限性，以实现更准确的结果解释。(3)保护隐私、激励兼容的跨网络数据共享。(4)通过开发量化网络属性和封装设备详细信息的抽象的度量来系统地评估权衡。(5)为假设分析和基于意图的配置自动生成提供实时决策支持。(6)联合控制和数据平面管理。这项研究将通过解决实现自动化、可演进和健壮的网络管理的关键挑战，推动IP网络管理的最新水平。任何开发的软件都将公开可用。研究成果将被纳入本科生和研究生课程。

Intent-based Network ManagementThis research is developing a framework for better managing IPnetworks using an intent-based network management approach to addressthe performance and robustness issues associated with managing complexIP networks. The goal is to automatically generate needed networkconfigurations by requiring only high-level objectives as input whilealso ensuring network-level objectives such as performance andreliability. The research develops design principles applicable tomanaging both current and future networks and provides insight intodesigning networks for manageability. Using abstraction-basedrepresentations, the framework enables high-level specifications toautomate low-level tasks, so that one can directly manage the network.Three main obstacles in today's network management are addressed:insufficient visibility, inability to predict the outcome of networkconfiguration changes, and hidden errors in configurations due toassembly-language-like interfaces. The research develops these keytechniques: (1) Measurement-based derivation of network protocols'operational models to elicit undocumented limiting behavior. (2)Methods to quantify limitations of measurement methodologies to enablemore accurate result interpretation. (3) Privacy-preserving,incentive-compatible data sharing across networks. (4) Systematicevaluation of trade-offs by developing metrics for quantifying networkproperties and abstractions encapsulating device details. (5)Real-time decision support for what-if analysis and automatedintent-based configuration generation. (6) Joint control and dataplane management.The research will advance the state of the art in managing IP networksby addressing key challenges in achieving automated, evolvable, androbust network management. Any developed software will be publiclyavailable. The research results will be integrated into undergraduateand graduate curriculum.