The Community for Technology Leaders
Policies for Distributed Systems and Networks, IEEE International Workshop on (2010)
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", Policies for Distributed Systems and Networks, IEEE International Workshop on, vol. 00, no. , pp. 44-52, 2010, doi:10.1109/POLICY.2010.29
84 ms
(Ver 3.3 (11022016))