NASA自主纳米技术群任务建模和模型驱动的自主计算

M. Hinchey, Yuan-Shun Dai, C. Rouff, J. Rash, Mingrui Qi
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引用次数: 29

摘要

NASA ANTS自主纳米技术集群任务将在宇宙中运行,因此在很大程度上依赖于高度自主性。本文提出了一种用于NASA蚁群任务的新技术,称为模型驱动自主计算。作为该技术的基础,构建了一个新的ANTS系统模型。与已有的模型相比,该模型克服了蚁群系统具有的庞大、复杂、动态性和非预期性等特点。在此基础上,介绍了蚁群任务中模型驱动自主技术的基本单元虚拟神经元的结构和功能。本文还部署了ant的自配置、自修复、自优化和自保护。最后进行了实例分析和仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling for NASA Autonomous Nano-Technology Swarm Missions and Model-Driven Autonomic Computing
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.
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