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Intelligent Network Configuration Optimization Toolkit (INCOT)

Intelligent Network Configuration Optimization Toolkit (INCOT). Phase I SBIR Prototype Briefing 2001 November Robert Richards Paul Janes SHAI OPNET Technologies. Stottler Henke Associates, Inc. 1660 South Amphlett Blvd., Suite 350 San Mateo, CA 94402

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Intelligent Network Configuration Optimization Toolkit (INCOT)

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  1. Intelligent Network Configuration Optimization Toolkit (INCOT) Phase I SBIR Prototype Briefing2001 November Robert Richards Paul Janes SHAI OPNET Technologies Stottler Henke Associates, Inc. 1660 South Amphlett Blvd., Suite 350 San Mateo, CA 94402 650-655-7242 FAX: 650.655-7243 richards@shai.com www.shai.com OPNET Technologies, Inc. 7255 Woodmont Avenue Bethesda, MD 20814 240-497-3000 Fax: (240) 497-3001 pjanes@opnet.com www.opnet.com

  2. Overview • SHAI background • OPNET background • Related Projects • Objectives • Architecture • AI & other techniques • Task schedule • Commercialization • Issues and concerns

  3. SHAI Background • AI R&D consulting firm, founded in 1988 • Artificial Intelligence Professionals • AI Projects – over 100 • Variety of AI Techniques

  4. Why Partnering with OPNET • Leader in predictive network management software for network design, deployment, and operations. • Proven technology: Since 1987 thousands of organizations have used OPNET Modeler • OPNET products designed to be enhanced by third parties.

  5. Related Projects • Decision support system to assist LSOs land aircraft on aircraft carriers (SHAI) • NETWARS: Assists in communications burden analysis, and contingency analysis. Interfaces with OPNET Modeler (OPNET)

  6. Objectives • Develop AI interface to OPNET Modeler to configure & optimize networks in the field • Via • Expert knowledge of devices • Adherence to policies • Goal directed optimization • Interactive with user

  7. Phase I Objectives • Requirements • Knowledge engineering • Determine AI techniques • Design Phase II system • Goals, features, methodology, algorithms, user interface, supported network protocols/types • Implement proof-of-concept prototype

  8. Overall Architecture

  9. Phase I Prototype Architecture Relative to Overall Architecture

  10. OPNET Modeler, with the following add-on modules Radio Terrain Modeling OPNET Development Kit (ODK) OPNET in Implementation

  11. Air Force Deployable Communications Architecture

  12. Scenariofor Network Engineer • Rapidly deploy a camp in Afghanistan • 2 geographically separated sub-networks connected via line-of-site microwave connection • 1 sub-network has satellite link

  13. INCOT Workflow • Drill down to deployment location • Select the closest pre-built generic network layout to deployment • Adjust sub-network locations • Add or remove components easily via customized palettes of available components. • Verify links

  14. INCOT Workflow (cont.) • Have INCOT automatically determine a viable location for the satellite uplink • Review terrain profile between antennae • Have INCOT automatically determine viable microwave antennae locations • Analyze the network • Modify if necessary.

  15. Major INCOT Enhancements • Simplified Iconized workflow • Pre-built network with pre-configured sub-networks • RULES: Automated rules and algorithms to determine • satellite uplink location • line-of-sight antennae locations • Customized palette to provide only available options

  16. Satellite Uplink without INCOT • User needs to understand Modeler, including the Radio and Terrain modules • Every attempted location requires a simulation run, which the user needs to know how to perform properly and needs to know how to interpret. • To make the solution easier, user inclined to place higher on the hill than necessary

  17. Review of Demonstration & Architecture

  18. Phase I Proves SHAI/OPNET Approach • Collaboration risk • Synergy not Quagmire • Phase II prototype can & should be deployed • Commercialization • Framework • Actual knowledge

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