Pollination - A Biologically Inspired Paradigm for Self-Managing Systems.

作者: Holger Kasinger , Bernhard Bauer

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摘要: From the biology's point of view, pollination is an important step in reproduction seed plants. software engineer's may evolve to a promising, biologically inspired paradigm for future, selfmanaging computing systems. This estimation based on self-* properties implied inherently by process between plants and insects. To exploit these characteristics artificial, self-managing systems, this paper analyzes components sub-processes involved natural identifies emerging properties. Based that, adapts formal specification artificial systems as well meta model their system architecture. The illustrates adaptation's benefits case study evaluates its capabilities limitations. Finally, it presents open issues outlook future work.

参考文章(14)
Jörg Denzinger, Jordan Kidney, Testing the limits of emergent behavior in MAS using learning of cooperative behavior european conference on artificial intelligence. pp. 260- 264 ,(2006)
David M. Chess, John F. Morar, William C. Arnold, Steve R. White, Morton Swimmer, Edward J. Pring, Anatomy of a Commercial-Grade Immune System ,(1999)
Tom De Wolf, Tom Holvoet, Emergence Versus Self-Organisation: Different Concepts but Promising When Combined Engineering Self-Organising Systems. ,vol. 3464, pp. 1- 15 ,(2005) , 10.1007/11494676_1
T. Bapty, S. Neema, S. Nordstrom, S. Shetty, D. Vashishtha, J. Overdorf, P. Sheldon, Modeling and generation tools for large-scale, real-time embedded systems engineering of computer based systems. pp. 11- 16 ,(2003) , 10.1109/ECBS.2003.1194777
P. Stelling, I. Foster, C. Kesselman, C. Lee, G. Von Laszewski, A fault detection service for wide area distributed computations high performance distributed computing. pp. 268- 278 ,(1998) , 10.1109/HPDC.1998.709981
J.O. Kephart, D.M. Chess, The vision of autonomic computing IEEE Computer. ,vol. 36, pp. 41- 50 ,(2003) , 10.1109/MC.2003.1160055
ThomasD. Seeley, Scott Camazine, James Sneyd, Collective decision-making in honey bees: how colonies choose among nectar sources Behavioral Ecology and Sociobiology. ,vol. 28, pp. 277- 290 ,(1991) , 10.1007/BF00175101
Scott Camazine, James Sneyd, A model of collective nectar source selection by honey bees: Self-organization through simple rules Journal of Theoretical Biology. ,vol. 149, pp. 547- 571 ,(1991) , 10.1016/S0022-5193(05)80098-0
Jeffrey O. Kephart, Research challenges of autonomic computing international conference on software engineering. pp. 15- 22 ,(2005) , 10.1145/1062455.1062464