- author = "Hairong Kuang and Lubomir F. Bic and Michael B. Dillencourt",
- title = "PODC: Paradigm-oriented distributed computing",
- journal = "Journal of Parallel and Distributed Computing",
- year = "2005",
- volume = "65",
- pages = "506--518",
- number = "4",
- month = apr,
- owner = "wlangdon",
- keywords = "genetic algorithms, genetic programming, Distributed computing, Paradigm-oriented computing, Mobile agents, Bag of tasks, Branch and bound, Finite difference, Individual-based simulation",
-
URL = "
http://www.ics.uci.edu/~bic/messengers/papers/JPDC05.pdf",
-
URL = "
http://www.sciencedirect.com/science/article/B6WKJ-4FFNBSD-1/2/f7a35dca806bd7431f2fdcaa99a03b67",
-
DOI = "
10.1016/j.jpdc.2004.11.009",
-
abstract = "We describe an environment for distributed computing
that uses the concept of well-known paradigms. The main
advantage of paradigm-oriented distributed computing
(PODC) is that the user only needs to specify
application-specific sequential code, while the
underlying infrastructure takes care of the
parallelisation and distribution. The main features of
the proposed approach, called PODC, are the following:
(1) It is intended for loosely coupled network
environments, not specialised 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 an
interactive graphics interface through which programs
are constructed, invoked, and monitored.
We discuss five paradigms presently supported in PODC: the bag-of-tasks, branch-and-bound search, genetic programming, finite difference, and individual-based simulation. We demonstrate their use, implementation, and performance within the mobile agent-based PODC environment.",
