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Abstract
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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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- Proceedings of the 6th International Conference on Human System Interaction strony 271 - 278
- Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Balicki J., Korłub W., Krawczyk H., Paluszak J..: Genetic Programming with Negative Selection for Volunteer Computing System Optimization, W: Proceedings of the 6th International Conference on Human System Interaction, 2013, IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/hsi.2013.6577835
- Verified by:
- Gdańsk University of Technology
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