An Intelligent Network for Federated Testing of NetCentric Systems

E. Chow, M. James, H. Chang, F. Vatan, G. Sudhir
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引用次数: 4

Abstract

We will describe a dynamic federated autonomic networking system1 for the testing of netcentric systems across organizations. Using a suite of policy-based management software tools, our system can provide netcentric missions with self-configuring, self-debugging, self-healing, and self-protecting capabilities across end-to-end coalition networks. The novelty of our system originates from: (1) A multi-party dynamic policy negotiation algorithm and protocol for autonomous cross-organization negotiations on network resources; (2) A RDF/XML based language to enable automated understanding of network and application configurations across organizations; (3) A teachable, natural language policy capture system; (4) An advanced user interface tool for capturing and representing domain expert knowledge; and (5) A reasoning system for distributing and applying domain knowledge. This system has been developed for large-scale netcentric systems testing applications where the rapid configuration and management of dynamically changing netcentric test exercises is critical. Using a scenario from a real test exercise involving test ranges around the country, we have demonstrated in our testbed that we could reduce the debugging time for a network configuration problem from 6 hours, involving dozens of operators, to less than 2 seconds with minimal human involvement.
用于NetCentric系统联合测试的智能网络
我们将描述一个动态联合自治网络系统1,用于跨组织测试以网络为中心的系统。使用一套基于策略的管理软件工具,我们的系统可以为网络中心任务提供跨端到端联盟网络的自配置、自调试、自修复和自保护能力。该系统的新颖之处在于:(1)一种用于网络资源自主跨组织协商的多方动态策略协商算法和协议;(2)一种基于RDF/XML的语言,能够自动理解跨组织的网络和应用程序配置;(3)可教的自然语言政策捕获系统;(4)用于捕获和表示领域专家知识的高级用户界面工具;(5)领域知识分布与应用推理系统。该系统是为大规模网络中心系统测试应用而开发的,其中快速配置和管理动态变化的网络中心测试练习是至关重要的。使用一个涉及全国各地测试范围的真实测试场景,我们已经在我们的测试平台中演示了我们可以将网络配置问题的调试时间从涉及数十个操作员的6小时减少到最少人工参与的不到2秒。
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