Rigorous Framework for Distributed Processing with Dynamic Stochastic Information

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-11-C-0325
Agency Tracking Number: O2-1062
Amount: $740,781.00
Phase: Phase II
Program: SBIR
Awards Year: 2011
Solicitation Year: 2009
Solicitation Topic Code: OSD09-SP7
Solicitation Number: 2009.2
Small Business Information
5310 N Camino Sumo, Tucson, AZ, 85718-5132
DUNS: 830821398
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 John Wissinger
 President
 (520) 991-8381
 john.wissinger@prisminformatix.com
Business Contact
 John Wissinger
Title: President
Phone: (520) 991-8381
Email: john.wissinger@prisminformatix.com
Research Institution
 Stub
Abstract
The vast and ever-increasing amount of networked information available creates a growing need for information processing systems that distribute decision making rather than centralize data. Under this program, Prism Informatix is developing a novel processing framework based on a rigorous theory of distributed cooperative (team) decision making under uncertainty called Distributed Hypothesis Testing Networks (DHTN). The approach is analytically tractable, extremely bandwidth efficient, and gives rise to solutions which are both intuitive in structure and optimal in a well-defined sense, all essential attributes in providing a path to scalable and analyzable distributed processing architectures. In Phase I of our program, a core DHTN reasoning engine was instantiated in software and evaluated extensively via simulation to establish its favorable performance characteristics for decision making accuracy, computational complexity, and robustness to practical processing constraints resulting from unreliable network performance. In Phase II, we propose to develop the capability into a full distributed system prototype in which distributed services cooperate to optimize global network-level decision metrics. We will demonstrate the operation of the prototype in two high-value net-centric processing applications: a multisource fusion application for the Navy and a distributed data mining application targeted for the private sector.

* Information listed above is at the time of submission. *

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