DocumentCode
2718570
Title
Modeling for NASA Autonomous Nano-Technology Swarm Missions and Model-Driven Autonomic Computing
Author
Hinchey, Mike ; Dai, Yuan-Shun ; Rouff, C.A. ; Rash, James L. ; Qi, Mingrui
Author_Institution
Comput. Sci. Dept., Loyola Coll. in Maryland, Baltimore, MD
fYear
2007
fDate
21-23 May 2007
Firstpage
250
Lastpage
257
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.
Keywords
aerospace computing; fault tolerant computing; nanotechnology; NASA autonomous nanotechnology swarm missions; hierarchical model; model-driven autonomic computing; model-driven autonomic technology; Autonomic nervous system; Biology computing; Computer science; Educational institutions; NASA; Neurons; Particle swarm optimization; Space technology; Space vehicles; Tree data structures;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications, 2007. AINA '07. 21st International Conference on
Conference_Location
Niagara Falls, ON
ISSN
1550-445X
Print_ISBN
0-7695-2846-5
Type
conf
DOI
10.1109/AINA.2007.93
Filename
4220901
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