Data strategies to support automated multi-sensor data fusion in a service oriented architecture
Loading...
Authors
Rothenhaus, Kurt Joseph
Subjects
Fusion
multi-sensor
service oriented architectures
software engineering
common operations picture
forcenet
software framework
Web Service Definition Language (WSDL)
Universal Discovery Directory Index (UDDI)
Simple Order Access Protocol (SOAP)
Java
Maritime Domain Awareness (MDA)
Business Process Execution Language for Web Service (BPEL4WS)
multi-sensor
service oriented architectures
software engineering
common operations picture
forcenet
software framework
Web Service Definition Language (WSDL)
Universal Discovery Directory Index (UDDI)
Simple Order Access Protocol (SOAP)
Java
Maritime Domain Awareness (MDA)
Business Process Execution Language for Web Service (BPEL4WS)
Advisors
Michael, James Bret
Date of Issue
2008-06
Date
June 2008
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
The quantity of data available to decision makers of various types is rapidly expanding beyond the pace of manual interpretation techniques (Hobbins, 1). Introducing a Service Oriented Architectures (SOA) based web service framework that exposes even more data without sufficient guidance will exacerbate the situation. Ontology's, data descriptions and discovery methods alone are not enough to create the end-to-end solutions promised by SOA technologies. Software architectural patterns in conjunction with broad data strategies are required to harness and employ vast quantities of content. This dissertation provides two software architectural patterns and an auto-fusion process that guide the development of a distributed, accountable and scalable SOA framework to support improved control and monitoring software. Although applicable to a wide range of software control system challenges, the dissertation will focus on a Maritime Domain Awareness (MDA) interoperability challenges. Using the U.S. Navy's MDA project as a case study, this dissertation will design, build and test a prototype automated data fusion framework employing the trickle-up and Command and Control Zone pattern that automates the discovery, pedigree assessment and ultimate fusion of dissimilar data types in a SOA web-service supported framework.
Type
Thesis
Description
Series/Report No
Department
Computer Science (CS)
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
xii, 226 p. : ill. ; 28 cm.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.