6533b823fe1ef96bd127f471

RESEARCH PRODUCT

Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization

Leonardo TrujilloKen SharmanFrancisco VegaGustavo OlagueDaniel Lombraña GonzálezLourdes AraujoPedro A. CastilloJuan J. Merelo

subject

Source codebusiness.industryComputer sciencemedia_common.quotation_subjectEvolutionary algorithmGenetic programmingcomputer.software_genreVirtualizationMultiplexingSoftwareGrid computingMiddleware (distributed applications)Operating systembusinesscomputermedia_common

description

This paper presents how it is possible to increase the Genetic Programming (GP) Computing Power (CP) for free, via Volunteer Computing (VC), using the well known framework BOINC plus a new ``virtualization'' layer which adds all the benefits from the virtualization paradigm. Two different experiments, employing a standard GP tool and a complex GP system, are performed --with distributed PCs over several cities-- to show the free achieved CP by means of VC, without the necessity of modifying or adapting the original GP source code. The methodology can be easily extended to Evolutionary Algorithms (EAs).

yearjournalcountryeditionlanguage
2009-02-012009 17th Euromicro International Conference on Parallel, Distributed and Network-based Processing
https://doi.org/10.1109/pdp.2009.25