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Fairfax, Virginia, USA
July 21, 2010 to July 23, 2010
ISBN: 978-0-7695-4238-6
pp: 44-52
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.
INDEX TERMS
Policy-Based Network Management, Federated Autonomic Networking, Policy Negotiation, Integration Markup Language, Knowledge Reasoning System.
CITATION
Edward Chow, Mark James, Hsin-Ping Chang, Farrokh Vatan, Gurusham Sudhir, "An Intelligent Network for Federated Testing of NetCentric Systems", POLICY, 2010, Policies for Distributed Systems and Networks, IEEE International Workshop on, Policies for Distributed Systems and Networks, IEEE International Workshop on 2010, pp. 44-52, doi:10.1109/POLICY.2010.29
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