Beyond traditional architecture for MDO applications: the Erlang VM and its potential

C. M. Wilkinson; Nathaniel D. Bastian; Minseok Kwon

doi:10.1117/12.2559799

21 April 2020 Beyond traditional architecture for MDO applications: the Erlang VM and its potential

C. M. Wilkinson, Nathaniel D. Bastian, Minseok Kwon

Proceedings Volume 11413, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II; 114130N (2020) https://doi.org/10.1117/12.2559799
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

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.

Conference Presentation

Citation Download 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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available