Title :
A systems engineering approach for performance surface computational architectures
Author :
Lever, J.A. ; Horn, D.C.
Author_Institution :
Naval Meteorol. & Oceanogr. Command, Stennis Space Center, MS, USA
Abstract :
The Naval Meteorology and Oceanography Command (NAVMETOCCOM) produces operational image products referred to as performance surfaces. A performance surface is the projection of numerical values that reflect the performance of a system or phenomenon into a Geographic Coordinate System layer portraying a physical representation of the earth´s atmosphere, surface, or ocean. That is, a performance surface is a graphic that indicates optimal performance through visual cues. To date, performance surface algorithms exist for AntiSubmarine Warfare (ASW) and Piracy, and future performance surfaces are anticipated. A characteristic of performance surfaces is their computational complexity, which can be either deterministic or stochastic in nature. The use of stochastic processes drives a significant computational burden based on the sheer volume of individual simulations that must be run and then combined to form a probabilistic prediction. To mitigate the difficulties imposed by large volume stochastic processes, NAVMETOCCOM chartered an Integrated Product Team (IPT) to characterize a suitable computational architecture for existing and future performance surfaces. The IPT was also tasked to document an engineering process by which emergent performance surfaces could implement suitable architectures. This engineering process used tailored DoD acquisition best practices that were agile and easily repeatable for use by future NAVMETOCCOM IPT efforts.
Keywords :
atmospheric techniques; computational complexity; computer graphics; geographic information systems; geophysics computing; military computing; military vehicles; naval engineering; oceanographic techniques; underwater vehicles; Earth atmosphere; Earth ocean; Earth surface; Integrated Product Team; NAVMETOCCOM; Naval Meteorology and Oceanography Command; antisubmarine warfare; computational complexity; engineering process document; geographic coordinate system layer; operational image products; performance surface computational architectures; physical representation; probabilistic prediction; stochastic process; systems engineering; tailored DoD acquisition; Computational modeling; Computer architecture; Meteorology; Predictive models; Sea surface; Surface treatment; US Department of Defense; Integrated Product Team; acquisition; systems engineering;
Conference_Titel :
Oceans, 2012
Conference_Location :
Hampton Roads, VA
Print_ISBN :
978-1-4673-0829-8
DOI :
10.1109/OCEANS.2012.6404790