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

Author

Gonzalez, D.L. ; de Vega, F.F. ; Trujillo, Leonardo ; Olague, Gustavo ; Araujo, L. ; Castillo, Pedro ; Merelo, Juan Juliáan ; Sharman, Ken

Author_Institution

Univ. of Extremadura, Badajoz

fYear

2009

fDate

18-20 Feb. 2009

Firstpage

419

Lastpage

423

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).

Keywords

genetic algorithms; grid computing; software engineering; BOINC framework; GP source code; desktop grid computing; evolutionary algorithms; genetic programming computing power; volunteer computing; Application software; Computer networks; Concurrent computing; Distributed computing; Genetic programming; Grid computing; Hardware; Middleware; Personal communication networks; Virtual colonoscopy; boinc; desktop grid computing; genetic programming; virtualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel, Distributed and Network-based Processing, 2009 17th Euromicro International Conference on

Conference_Location

Weimar

ISSN

1066-6192

Print_ISBN

978-0-7695-3544-9

Type

conf

DOI

10.1109/PDP.2009.25

Filename

4912963