%0 Journal Article %1 Kuang:2005:JPDC %A Kuang, Hairong %A Bic, Lubomir F. %A Dillencourt, Michael B. %D 2005 %J Journal of Parallel and Distributed Computing %K Bag Branch Distributed Finite Individual-based Mobile Paradigm-oriented agents, algorithms, and bound, computing, difference, genetic of programming, simulation tasks, %N 4 %P 506--518 %R doi:10.1016/j.jpdc.2004.11.009 %T PODC: Paradigm-oriented distributed computing %U http://www.sciencedirect.com/science/article/B6WKJ-4FFNBSD-1/2/f7a35dca806bd7431f2fdcaa99a03b67 %V 65 %X 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.

@article{Kuang:2005:JPDC, 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.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Kuang, Hairong and Bic, Lubomir F. and Dillencourt, Michael B.}, biburl = {https://www.bibsonomy.org/bibtex/252a9ca9a1dc5a71ad05158c05ee0e489/brazovayeye}, doi = {doi:10.1016/j.jpdc.2004.11.009}, interhash = {4bc1d500d88da4aa48ac74e3141b5b03}, intrahash = {52a9ca9a1dc5a71ad05158c05ee0e489}, journal = {Journal of Parallel and Distributed Computing}, keywords = {Bag Branch Distributed Finite Individual-based Mobile Paradigm-oriented agents, algorithms, and bound, computing, difference, genetic of programming, simulation tasks,}, month = {April}, number = 4, owner = {wlangdon}, pages = {506--518}, timestamp = {2008-06-19T17:44:25.000+0200}, title = {{PODC}: Paradigm-oriented distributed computing}, url = {http://www.sciencedirect.com/science/article/B6WKJ-4FFNBSD-1/2/f7a35dca806bd7431f2fdcaa99a03b67}, volume = 65, year = 2005 }