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Microservice Architecture for Cognitive NetworksThis develops the concept of a cognitive network and describes a microservice based architecture which could be used to implement such a system. Delay tolerant networking (DTN) influences the design of the architecture as well as the networking scenarios that the system attempts to address. A cognitive storage and fragmentation service is developed based on existing artificial intelligence techniques such as Advantage Actor Critic (A2C) and Deep Q-Networks. The system is simulated using OpenAI Gym in a custom developed
DTN environment.
Document ID
20205008239
Acquisition Source
Glenn Research Center
Document Type
Presentation
Authors
Rachel Dudukovich (Glenn Research Center Cleveland, Ohio, United States)
Janette Briones (Glenn Research Center Cleveland, Ohio, United States)
Alan Hylton (Glenn Research Center Cleveland, Ohio, United States)
Gilbert Clark (Glenn Research Center Cleveland, Ohio, United States)
Date Acquired
October 1, 2020
Subject Category
Computer Programming And Software
Meeting Information
Meeting: Wireless for Space and Extreme Environments
Location: Vincenza Italy
Country: US
Start Date: October 12, 2020
End Date: October 14, 2020
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
WBS: 553323.04.01.03
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
Single Expert
Keywords
cognitive networks
delay tolerant networking
microservice architecture
machine learning
artificial intelligence

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