SBIR-STTR Award

Resource Utilization Prediction and Planning for Complex Simulations
Award last edited on: 10/9/2020

Sponsored Program
SBIR
Awarding Agency
DOD : MDA
Total Award Amount
$1,164,974
Award Phase
2
Solicitation Topic Code
MDA17-002
Principal Investigator
Jeffrey S Steinman

Company Information

WarpIV Technologies Inc

5230 Carroll Canyon Road Suite 306
San Diego, CA 92121
   (858) 605-1646
   N/A
   www.warpiv.com
Location: Single
Congr. District: 51
County: San Diego

Phase I

Contract Number: HQ0147-18-C-7205
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
2018
Phase I Amount
$154,979
The Missile Defense Agency (MDA) seeks technology to predict and plan computer and network resource utilization requirements for complex simulation experiments. MDA Modeling and Simulation (M&S) hardware and software components are developed independently from one another in isolation, so the computational impact of one component on the other is not initially known. Care must be taken in scenario and architecture design, since executing large-scale simulation federations can be computationally and network intensive, sometimes producing invalid results.A Resource Utilization Prediction and Planning Tool for Complex Simulations will enable analysts to estimate the execution run-time and network loading requirements for simulation scenarios on given architectures. By learning the scenario features that drive resource loading, this technology will assist analysts in designing and configuring valid and accreditable scenarios subject to time and resource constraints. An embedded optimization framework will facilitate automated batch scheduling for Monte-Carlo experiments by determining the optimal subset of scenarios to execute given input parameters of interest and resource constraints.WarpIV Technologies, Inc. proposes a general purpose, configurable, adaptable, and highly customizable solution to enable resource utilization prediction and planning for complex simulations. This solution will leverage the unique mathematical optimization algorithms and M&S capabilities of the WarpIV Kernel.Approved for Public Release | 17-MDA-9395(24 Oct 17)

Phase II

Contract Number: HQ0147-19-C-7124
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
2019
Phase II Amount
$1,009,995
WarpIV Technologies has developed a federation performance resource utilization tool to help scenario planners prepare for missile defense simulation events. The algorithms designed and/or prototyped in Phase I consists of nine new capabilities: (1) highly configurable mock federation for representing realistic MDA federations during algorithm development and testing, (2) data logging interfaces for capturing relevant information about each federate during standalone operation, (3) integration of the data logger with the HPC-RTI to demonstrate future integration with OSF, (4) a variety of algorithms for analyzing logged federate behavior data and establishing accurate computational and message-sending models, (5) integration of federate behavior models with the Missile Defense Engagement Model (MDEM) to log actual federate behaviors that are tied to a specific scenario (scripted behavior), (6) Forecaster that combines hardware configuration with scripted behavior to performance bottleneck analysis for making logical-time and real-time performance predictions, (7) Predictor, similar to the Forecaster except that it uses a high-fidelity parallel discrete-event simulation to predict federation performance, (8) Radial Basis Function Network (RBFN) to provide performance predictions based on machine learning using Forecaster, Predictor, or actual federation performance data, and (9) federation performance optimization using grid-computing and a genetic algorithm to determine optimal federate-to-machine mappings.Approved for Public Release | 19-MDA-9932 (21 Feb 19)