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

Published in Conferences Papers
  1. Daniel Lombraña Gonzalez, Francisco Fernández Vega, Leonardo Trujillo, Gustavo Olague, Lourdes Araujo, Pedro A Castillo, Juan Julián Merelo Guervós and Ken Sharman. Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization. In PDP. 2009, 419-423. BibTeX

    @inproceedings{DBLP:conf/pdp/GonzalezVTOACGS09,
    	author = "Daniel Lombra{\~n}a Gonzalez and Francisco Fern{\'a}ndez de Vega and Leonardo Trujillo and Gustavo Olague and Lourdes Araujo and Pedro A. Castillo and Juan Juli{\'a}n Merelo Guerv{\'o}s and Ken Sharman",
    	title = "Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization",
    	booktitle = "PDP",
    	year = 2009,
    	pages = "419-423",
    	ee = "http://dx.doi.org/10.1109/PDP.2009.25",
    	crossref = "DBLP:conf/pdp/2009",
    	bibsource = "DBLP, http://dblp.uni-trier.de"
    }
    
  2. Didier El Baz, François Spies and Tom Gross (eds.). Proceedings of the 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2009, Weimar, Germany, 18-20 Febuary 2009. IEEE Computer Society, 2009. BibTeX

    @proceedings{DBLP:conf/pdp/2009,
    	editor = "Didier El Baz and Fran\c{c}ois Spies and Tom Gross",
    	title = "Proceedings of the 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2009, Weimar, Germany, 18-20 Febuary 2009",
    	booktitle = "PDP",
    	publisher = "IEEE Computer Society",
    	year = 2009,
    	isbn = "978-0-7695-3544-9",
    	bibsource = "DBLP, http://dblp.uni-trier.de"
    }
    
Abstract

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).

Published in
Parallel, Distributed and Network-based Processing, 2009 17th Euromicro International Conference on
Pages 419-423
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=4912963&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D4912963
Date of conference
18-20 February 2009
ISSN
1066-6192
ISBN
978-3-540-78761-7
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