EvoSpace: A Distributed Evolutionary Platform
based on the Tuple Space Model

Mario Garca-Valdez, Leonardo Trujillo , Francisco Fernndez de Vega, JuanJ. Merelo Guervs and Gustavo Olague

Tecnolgico de Tijuana + U. Extremadura + UGR + CIECESE - Ensenada

Combinacin de color colorcombo19Imagen de fondo de ElectroGuepard http://www.flickr.com/photos/59917388@N08/8016022581/

EvoSpace: the final frontier

Imagen by blaster219 en http://www.flickr.com/photos/blaster219/376919582/

Evolving in the cloud

Looking at the clouds moving

https://github.com/evoWeb/EvoSpace

What we do in this paper

Implement EvoSpace and test on a number of benchmark problems.

Picture by vanil.noir at http://www.flickr.com/photos/vanil-noir/3564331650

Evolutionary landscapes

Maintaining diversity

And barely keeping it

How much does it run?

4-Trap5-Trap

But are EvoWorkers working?

They apparently are, since the number of evaluations is pretty much the same; all change in running time must be due to adding EvoWorkers.

Conclusions

Pool/cloud based EvoSpace works!Evolution as a service!

Good scalability is achieved

Flexibility in implementations: server/cloud based

Parametrization is importantBlock size

Number of workers

Future work

Authentication

Throttling

ScalabilityAnd how to achieve it.

Dissimilar webworkers

Characterizing pool-based EAsAnd when to use them.

Thanks for your attention!

Any question?

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