Soar-Longevity: A Sustainable Autonomic Architecture for Organically Reconfigurable Computing Systems

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$98,999.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
W31P4Q-08-C-0168
Agency Tracking Number:
07SB2-0158
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
SOAR TECHNOLOGY, INC.
3600 Green Court, Suite 600, Ann Arbor, MI, 48105
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
009485124
Principal Investigator:
Michael Quist
Research Scientist
(734) 327-8000
quist@soartech.com
Business Contact:
Jim Rosbe
President and CEO
(734) 327-8000
rosbe@soartech.com
Research Institution:
n/a
Abstract
Soar Technology proposes the Soar-Longevity autonomic architecture for self-adapting sustainable performance. Soar-Longevity utilizes a two-tiered approach to synergize lower-level organic computing elements and upper-level cognitive supervisory elements. Soar Technology's Cognitive Layer monitors the organic computing elements with respect to mission performance specifications. The Cognitive Layer also leverages the organic computing elements' reporting capabilities to assist in fault isolation, resolution, and avoidance of undesirable emergent behaviors at the system level. The Organic Layer resides beneath it and is composed of Field Programmable Gate Arrays (FPGAs) containing Functional Elements (FEs) and Autonomic Elements (AEs). Thus, each FPGA is imparted with an independent capability to self-monitor and self-repair using the techniques developed and demonstrated by the University of Central Florida (UCF). Soar Technology, Inc., teaming with researchers from UCF, will design and develop the integrated architecture. Soar-Longevity will be capable of maintaining mission requirements through monitoring and management of functionality to independently sustainable FPGAs, optionally including the FPGAs that comprise components of the Cognitive Layer itself.

* information listed above is at the time of submission.

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