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Genetic Programming with Negative Selection for Volunteer Computing System Optimization

Volunteer computing systems like BOINC or Comcute are strongly supported by a great number of volunteers who contribute resources of their computers via the Web. So, the high efficiency of such grid system is required, and that is why we have formulated a multi-criterion optimization problem for a volunteer grid system design. In that dilemma, both the cost of the host system and workload of a bottleneck host are minimized. On the other hand, areliability of this grid structure is maximized. Moreover, genetic programming has been applied to determine the Pareto solutions. Finally, a negative selection procedure to handle constraints has been discussed.

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DOI
Digital Object Identifier link open in new tab 10.1109/hsi.2013.6577835
Category
Aktywność konferencyjna
Type
materiały konferencyjne indeksowane w Web of Science
Language
angielski
Publication year
2013

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