Paradigm-Oriented Distributed Computing Using Mobile Agents
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{851780,
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author = "Hairong Kuang and Lubomir F. Bic and
Michael B. Dillencourt",
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title = "Paradigm-Oriented Distributed Computing Using Mobile
Agents",
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booktitle = "Proceedings of the The 20th International Conference
on Distributed Computing Systems (ICDCS 2000)",
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year = "2000",
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pages = "11--19",
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address = "Taipei, Taiwan",
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month = apr # " 10-13",
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publisher = "IEEE Computer Society",
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keywords = "genetic algorithms, genetic programming, Programming
Skeletons, Paradigm-Oriented Computing, Distributed
Computing, Mobile Agents, a Bag of Task, Branch and
Bound",
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ISBN = "0-7695-0601-1",
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URL = "http://csdl.computer.org/comp/proceedings/icdcs/2000/0601/00/06010011abs.htm",
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URL = "http://www.ics.uci.edu/~bic/messengers/papers/ICDCS00h.ps",
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URL = "http://citeseer.ist.psu.edu/486812.html",
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DOI = "doi:10.1109/ICDCS.2000.840902",
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abstract = "We describe the implementation underlying an
environment for distributed computing that uses the
concept of well-known paradigms. The main advantage of
paradigmoriented distributed computing is that the user
only needs to specify application-specific sequential
code, while the underlying infrastructure takes care of
the parallelization and distribution. The main features
of the proposed approach, called PODC, which
differentiate it from other approaches, are the
following: (1) It is intended for looselycoupled
network environments, not specialized multiprocessors;
(2) it is based on an infrastructure of mobile agents;
(3) it supports programming in C, rather than a
functional or special-purpose language, and (4) it
provides a Webbased interactive graphics interface
through which programs are constructed, invoked, and
monitored. The three paradigms presently supported in
PODC are the bag-oftasks, the branch-and-bound, and
genetic programming. We describe their implementation
and performance within the mobile agent-based PODC
environment.",
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notes = "PhD thesis awarded to Hairong Kuang?",
- }
Genetic Programming entries for
Hairong Kuang
Lubomir F Bic
Michael B Dillencourt
Citations