Paper
4 August 2000 Real-time information management environment (RIME)
Brian T. DeCleene, Sean Griffin, Garry Matchett, Richard Niejadlik
Author Affiliations +
Abstract
Whereas data mining and exploitation improve the quality and quantity of information available to the user, there remains a mission requirement to assist the end-user in managing the access to this information and ensuring that the appropriate information is delivered to the right user in time to make decisions and take action. This paper discusses TASC's federated architecture to next- generation information management, contrasts the approach against emerging technologies, and quantifies the performance gains. This architecture and implementation, known as Real-time Information Management Environment (RIME), is based on two key concepts: information utility and content-based channelization. The introduction of utility allows users to express the importance and delivery requirements of their information needs in the context of their mission. Rather than competing for resources on a first-come/first-served basis, the infrastructure employs these utility functions to dynamically react to unanticipated loading by optimizing the delivered information utility. Furthermore, commander's resource policies shape these functions to ensure that resources are allocated according to military doctrine. Using information about the desired content, channelization identifies opportunities to aggregate users onto shared channels reducing redundant transmissions. Hence, channelization increases the information throughput of the system and balances sender/receiver processing load.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian T. DeCleene, Sean Griffin, Garry Matchett, and Richard Niejadlik "Real-time information management environment (RIME)", Proc. SPIE 4037, Digitization of the Battlespace V and Battlefield Biomedical Technologies II, (4 August 2000); https://doi.org/10.1117/12.395055
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KEYWORDS
Environmental management

Associative arrays

Computer architecture

Image quality

Human-machine interfaces

Profiling

Data mining

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