NeTS-FIND: Model-Based Diagnosis in the Knowledge Plane

NeTS-FIND：知识平面中基于模型的诊断

• 批准号: 0626904
• 负责人: Karen Sollins
• 金额: --
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0626904&HistoricalAwards=false
• 关键词: NeTS; FIND; Model; Based; Diagnosis

The Knowledge Plane (KP) architecture enables next-generation computer networks to be self-describing, self-analyzing, and ultimately more self-managing. This one-year project is laying out an initial high-level design for the KP and applying it to focused test problems, with the aim of identifying key steps towards full development and deployment of a KP-enabled network. A fully KP-enabled network will be able to detect and diagnose its own failures and faults, and often advise on its own repair.The project would first define a three-part KP architecture consisting of (1) an agent system to decompose distributed and partitionable learning and analysis, (2) a knowledge representation framework and (3) knowledge routing and management. Key design criteria are scaling, distribution, and reconciliation of incomplete or incorrect knowledge.The KP postulates that sharing knowledge across multiple problem domains will strengthen solution performance in each domain. To motivate the architecture design and validate this postulate, the research focuses initially on a model-based hard fault diagnosis application, which is then extended to discovery of security failures. Following preliminary fault diagnosis work at MIT, the PIs focus on ISI's DETER network security testbed as a test environment for diagnosing hard fault and security-related configuration failures. DETER offers a controllable and constrained to simplify initial research, while being sufficiently large and complex to motivate many of the KP mechanisms required for a commercial Internet. The intended outputs of this project are (1) an architecture, including principles, goals, and an initial design, (2) a specific application of these to the separate yet overlapping problems of hard fault and security failures, and (3) identification of key questions to be addressed in the next steps of the research. Results will be disseminated through incorporation in the operational DETER testbed, publication of papers and related code, and PI participation in NETS-FIND community.

知识平面（KP）架构使下一代计算机网络能够自我描述、自我分析，并最终实现更多的自我管理。 这个为期一年的项目正在为 KP 进行初步的高层设计，并将其应用于重点测试问题，目的是确定全面开发和部署支持 KP 的网络的关键步骤。 一个完全支持 KP 的网络将能够检测和诊断其自身的故障和错误，并经常就其自身的修复提出建议。该项目将首先定义一个由三部分组成的 KP 架构，其中包括 (1) 一个代理系统，用于分解分布式和可划分的学习和分析，（2）知识表示框架和（3）知识路由和管理。 关键的设计标准是不完整或不正确知识的扩展、分布和协调。KP 假设跨多个问题领域共享知识将增强每个领域的解决方案性能。为了激发架构设计并验证这一假设，该研究最初侧重于基于模型的硬故障诊断应用程序，然后扩展到安全故障的发现。 继 MIT 的初步故障诊断工作之后，PI 重点关注 ISI 的 DETER 网络安全测试平台，作为诊断硬故障和安全相关配置故障的测试环境。 DETER 提供了可控和约束来简化初始研究，同时足够大和复杂以激发商业互联网所需的许多 KP 机制。该项目的预期输出是（1）一个架构，包括原则、目标和初始设计，（2）这些架构在独立但重叠的硬故障和安全故障问题上的具体应用，以及（3）识别下一步研究需要解决的关键问题。 结果将通过纳入运行的 DETER 测试平台、发表论文和相关代码以及 PI 参与 NETS-FIND 社区来传播。