Runtime Evaluation and Predicition System (REPS)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$744,417.00
Award Year:
2002
Program:
SBIR
Phase:
Phase II
Contract:
N00039-02-C-2213
Award Id:
53613
Agency Tracking Number:
N011-0766
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
125 West Park Loop Suite 201, Huntsville, AL, 35806
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
102115136
Principal Investigator:
RobertCox
Principal Investigator
(256) 721-1288
robert.cox@oti-hsv.com
Business Contact:
PatriciaThompson
Director, Contracts Admin
(256) 721-1288
pthomps@oti-hsv.com
Research Institute:
n/a
Abstract
"OTI proposes to research, develop, validate and demonstrate theRuntime Evaluation and Prediction System (REPS) technologiesproviding the runtime prediction capability required in order tomost effectively employ the Naval Simulation System (NSS) in areal-time course-of-action (COA) analysis role. The NSS is adiscrete-event simulation-based COA tool developed under thesponsorship of the Navy in order to facilitate the rapidevaluation of a variety of user-definable measures ofeffectiveness for alternative configurations of naval assets,operational plans, tactics, and command structures. However, inorder to most effectively use NSS in an operational roleassisting the real-time decision processes, it is essential thatan NSS user be able to reliably predict how much time will berequired to produce analysis results from the simulationexperiment sequence that is required to produce statisticallysignificant results. Since, NSS simulation runtimes can varysignificantly depending upon the specific combination ofsimulation parameters, the analyst has a very strong need for theREPS runtime prediction capability. REPS runtime predictioncapability will help the NSS user to more effectively manage theavailable resources and ensure that analysis results can beproduced within the given time constraints.BENEFITS: The immediate benefit from development of REPS capabilities will be to increase the efficiency and effectiveness of the NSS analysis proce

* information listed above is at the time of submission.

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