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21st International Conference on Advanced Networking and Applications (AINA '07)
Modeling for NASA Autonomous Nano-Technology Swarm Missions and Model-Driven Autonomic Computing
Niagara Falls, Ontario, Canada
May 21-May 23
ISBN: 0-7695-2846-5
ASCII Text
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Michael , Yuan-Shun Dai, C. A. Rouff, James L. Rash, Mingrui Qi, "Modeling for NASA Autonomous Nano-Technology Swarm Missions and Model-Driven Autonomic Computing," Advanced Information Networking and Applications, International Conference on, pp. 250-257, 21st International Conference on Advanced Networking and Applications (AINA '07), 2007.
 
 
BibTex
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@article{ 10.1109/AINA.2007.93,
author = {Michael and Yuan-Shun Dai and C. A. Rouff and James L. Rash and Mingrui Qi},
title = {Modeling for NASA Autonomous Nano-Technology Swarm Missions and Model-Driven Autonomic Computing},
journal ={Advanced Information Networking and Applications, International Conference on},
volume = {0},
year = {2007},
issn = {1550-445X},
pages = {250-257},
doi = {http://doi.ieeecomputersociety.org/10.1109/AINA.2007.93},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Advanced Information Networking and Applications, International Conference on
TI - Modeling for NASA Autonomous Nano-Technology Swarm Missions and Model-Driven Autonomic Computing
SN - 1550-445X
SP250
EP257
A1 - Michael ,
A1 - Yuan-Shun Dai,
A1 - C. A. Rouff,
A1 - James L. Rash,
A1 - Mingrui Qi,
PY - 2007
KW - null
VL - 0
JA - Advanced Information Networking and Applications, International Conference on
ER -
 
Michael, Loyola College in Maryland
Yuan-Shun Dai, Univ. IUPUI, USA
C. A. Rouff, SAIC, McLean, VA
James L. Rash, NASA Goddard Space Flight Center
Mingrui Qi, Univ. IUPUI
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.
Citation:
Michael , Yuan-Shun Dai, C. A. Rouff, James L. Rash, Mingrui Qi, "Modeling for NASA Autonomous Nano-Technology Swarm Missions and Model-Driven Autonomic Computing," aina, pp.250-257, 21st International Conference on Advanced Networking and Applications (AINA '07), 2007
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