Browser-based distributed evolutionary computation: performance and scaling behavior
<|reference_start|>Browser-based distributed evolutionary computation: performance and scaling behavior: The challenge of ad-hoc computing is to find the way of taking advantage of spare cycles in an efficient way that takes into account all capabilities of the devices and interconnections available to them. In this paper we explore distributed evolutionary computation based on the Ruby on Rails framework, which overlays a Model-View-Controller on evolutionary computation. It allows anybody with a web browser (that is, mostly everybody connected to the Internet) to participate in an evolutionary computation experiment. Using a straightforward farming model, we consider different factors, such as the size of the population used. We are mostly interested in how they impact on performance, but also the scaling behavior when a non-trivial number of computers is applied to the problem. Experiments show the impact of different packet sizes on performance, as well as a quite limited scaling behavior, due to the characteristics of the server. Several solutions for that problem are proposed.<|reference_end|>
@article{merelo2007browser-based,
    title={Browser-based distributed evolutionary computation: performance and
  scaling behavior},
    author={J.J. Merelo, Antonio Mora-Garcia, J.L.J. Laredo, Juan Lupion, Fernando
  Tricas},
    journal={arXiv preprint arXiv:cs/0701115},
    year={2007},
    archivePrefix={arXiv},
    eprint={cs/0701115},
    primaryClass={cs.DC cs.NE}
}