Paper
24 May 2012 Network application and framework for quality of information processing
Kelvin Marcus, Trevor Cook, Lisa Scott, Andrew Toth
Author Affiliations +
Abstract
To improve the effectiveness of network-centric decision making, we present a distributed network application and framework that provides users with actionable intelligence reports to support counter insurgency operations. ARL's Quality of Information (QoI) Intelligence Report Application uses QoI metrics like timeliness, accuracy, and precision combined with associated network performance data, such as throughput and latency, and mission-specific information requirements to deliver high quality data to users; that is data delivered in a manner which best supports the ability to make more informed decisions as it relates to the current mission. This application serves as a testing platform for integrated experimentation and validation of QoI processing techniques and methodologies. In this paper, we present the software-system framework and architecture, and show an example scenario that highlights how the framework aids in network integration and enables better data-to-decision.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kelvin Marcus, Trevor Cook, Lisa Scott, and Andrew Toth "Network application and framework for quality of information processing", Proc. SPIE 8389, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III, 838907 (24 May 2012); https://doi.org/10.1117/12.921038
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Video

Data processing

Network architectures

Logic

Java

Data modeling

Computer architecture

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