PODC: Paradigm-oriented distributed computing

Authors:
Hairong Kuang;Lubomir F. Bic;Michael B. Dillencourt
Affiliations:
Information and Computer Science, University of California, Irvine, CA 92697-3425, USA;Information and Computer Science, University of California, Irvine, CA 92697-3425, USA;Information and Computer Science, University of California, Irvine, CA 92697-3425, USA
Venue:
Journal of Parallel and Distributed Computing
Year:
2005

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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 parallelization and distribution. The main features of the proposed approach, called PODC, are the following: (1) It is intended for loosely coupled 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 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.