The Air Force Research Laboratory leads the discovery, development, and integration of affordable war fighting technologies for our air and space forces. In particular, the Information Directorate’s mission is to advance and apply Information Systems Science and Technology to provide Information Dominance. This paper discusses why the Air Force Research Laboratory Information Directorate is concerned with researching prospective computing architectures for Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance applications. Projects addressing quantum information science and quantum computing will be discussed, highlighting where these technologies offer potential disruptive technology solutions for the Air Force.
Proc. SPIE. 5091, Enabling Technologies for Simulation Science VII
KEYWORDS: Sensors, Computer simulations, Data processing, Computer networks, Analytical research, Modeling and simulation, Computer architecture, Information operations, Information architecture, Protactinium
A Distributed Information Enterprise Modeling and Simulation (DIEMS) framework, presently under development, is applied to the analysis of a Joint Battlespace Infosphere (JBI) Pub/Sub architecture's infrastructural requirements. This analysis is an example of one methodology that can be employed utilizing the DIEMS framework. This analysis capability permits the information systems engineer to ensure that the planned JBI architecture deployment will provide the required information exchange performance on the infrastructure provided. This paper describes the DIEMS framework including its application in constrained and unconstrained resource utilization modes. A JBI architecture is evaluated in the context of a representative operational scenario on one infrastructure. The simulator's unconstrained resource mode is employed to identify the architecture's ideal operational requirements and in turn identify potential resource limitations. The constrained simulation mode is employed to evaluate the potential choke points in relation to the
architecture's performance. The results identify the infrastructure changes required so that the specific JBI architecture will achieve the required operational performance.
Conference Committee Involvement (2)
Quantum Information and Computation IV
17 April 2006 | Orlando (Kissimmee), Florida, United States