Using free cloud storage services for distributed evolutionary algorithms

Authors:
Maribel García-Arenas;Juan Julián Merelo Guervós;Pedro Castillo;Juan Luis Jiménez Laredo;Gustavo Romero;Antonio M. Mora
Affiliations:
Universidad de Granada, Granada, Spain;Universidad de Granada, Granada, Spain;Universidad de Granada, Granada, Spain;Universidad de Granada, Granada, Spain;Universidad de Granada, Granada, Spain;Universidad de Granada, Granada, Spain
Venue:
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Year:
2011

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Abstract

Cloud computing, in general, is becoming part of the toolset that the scientist uses to perform compute-intensive tasks. In particular, cloud storage is an easy and convenient way of storing files that will be accessible over the Internet, but also a way of distributing those files and performing distributed computation using them. In this paper we describe how such a service commercialized by Dropbox is used for pool-based evolutionary algorithms. A prototype system is described and its peformance measured over a deceptive combinatorial optimization problem, finding that, for some type of problems and using commodity hardware, cloud storage systems can profitably be used as a platform for distributed evolutionary algorithms. Preliminary results show that Dropbox is indeed a viable alternative for execution of pool-based distributed evolutionary algorithms, showing a good scaling behavior with up to 4 computers.