Modeling for NASA autonomous nano-technology swarm missions and model-driven autonomic computing

Michael Hinchey, Yuan Shun Dai, C. A. Rouff, James L. Rash, Mingrui Qi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

NASA ANTS (Autonomous Nano-Technology Swarm missions will be operating in the universe, and therefore rely much on high autonomy. This paper presents a novel technology for NASA's ANTS missions, named as Model-Driven Autonomic Computing. As the foundation for the technology, a new model is constructed for the ANTS system. Exceeding other existent models, the new hierarchical model overcomes the challenges of largeness, complexity, dynamicity and unexpectedness possessed by the ANTS system. Then, the paper exhibits the structure and functions of virtual neuron that is basic unit together with the model for the model-driven autonomic technology in ANTS missions. The paper also deploys self-configuration, self-healing, self-optimization and self-protection for ANTS. A case study, examples and simulations are illustrated.

Original languageEnglish
Title of host publicationProceedings - 21st International Conference on Advanced Information Networking and Applications, AINA 2007
Pages250-257
Number of pages8
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event21st International Conference on Advanced Information Networking and Applications, AINA 2007 - Niagara Falls, ON, Canada
Duration: 21 May 200723 May 2007

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN (Print)1550-445X

Conference

Conference21st International Conference on Advanced Information Networking and Applications, AINA 2007
Country/TerritoryCanada
CityNiagara Falls, ON
Period21/05/0723/05/07

Fingerprint

Dive into the research topics of 'Modeling for NASA autonomous nano-technology swarm missions and model-driven autonomic computing'. Together they form a unique fingerprint.

Cite this