Beyond traditional architecture for MDO applications: The Erlang VM and its potential
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Authors
Wilkinson, Chris
Bastian, Nathaniel D.
Kwon, Minseok
Issue Date
2020-04-21
Type
proceedings-article
Language
en_US
Keywords
Alternative Title
Abstract
In order to scale for speed, technology often builds upon the earliest proven systems and architectures. As the context changes, from a civilian application domain to a military application domain, the priority of functional requirements can and often do change. The hardware, software, and language development environment set the foundation for the constraints and potential of a system. This along with the fact the information technology revolution, since early 2000, has primarily been driven by the commercial sector, requires engineers to consider whether nontraditional, less well-known architectures may have a role in the Multi-Domain Operations (MDO) application space. This paper will highlight features inherent to traditional architectures, the challenges associated with these architectural features, and how the Erlang VM represents an opportunity to develop an architectural foundation suitable to the MDO application domain. Finally, this paper will highlight a future technology concept integrating demonstrated neural interface technology with an Erlang VM supported architecture. This foundation will help enable human-machine teaming by empowering a human agent to interact with sensors and AI-enabled autonomous systems with a dynamic user interface allowing the human agent to accomplish MDO applications. The great potential for the concept depends on a fault-tolerant, distributed system permitted by the Erlang VM to exibly integrate the capabilities required to address the diverse challenges of a complex operating environment.
Description
Citation
C. M. Wilkinson, Nathaniel D. Bastian, and Minseok Kwon "Beyond traditional architecture for MDO applications: the Erlang VM and its potential", Proc. SPIE 11413, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, 114130N (21 April 2020); https://doi.org/10.1117/12.2559799