DECISION MODEL IMPLEMENTATION IN THE GLOBAL INFORMATION NETWORK ARCHITECTURE
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Authors
Sweeney, Matthew K.
Subjects
Global Information Network Architecture
GINA
tactical networks
decision models
vector-relational data modeling
VRDM
Multi-Domain Operations Command Control Computers Communications Combat Systems and Intelligence
MDOC5i
GINA
tactical networks
decision models
vector-relational data modeling
VRDM
Multi-Domain Operations Command Control Computers Communications Combat Systems and Intelligence
MDOC5i
Advisors
Singh, Gurminder
Anderson, Thomas S.
Barton, Armon C.
Date of Issue
2022-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
The future battlefield is one that will be heavily influenced by rapidly changing technological capabilities of near-peer adversaries. Success in this environment will require simple to use systems that are adaptable to situations and capable of integration with other forces and systems. The Multi-Domain Operations Command, Control, Computers, Communications, Combat Systems, and Intelligence (MDOC5i) aims to prepare the Marine Corps for the future battlefield. Due to certain drawback of traditional machine learning techniques, MDOC5i uses vector relational data modeling (VRDM) to provide the Marine Corps with systems suitable for dynamic employment. MDOC5i uses the Global Information Network Architecture (GINA) as its VRDM platform. This research uses GINA to create a ubiquitous decision model that can be configured to USMC scenarios. The research implements the ubiquitous model and proves functionality through a network analysis use case. This decision model will serve as the base model for all GINA implementations. The ability to quickly construct and adapt GINA models based on scenarios and integrate those models into a common framework will provide the Marine Corps with information overmatch against future adversaries.
Type
Thesis
Description
Series/Report No
Department
Computer Science (CS)
Organization
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NPS Report Number
Sponsors
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Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.