Genetic Programming with Negative Selection for Volunteer Computing System Optimization - Publication - Bridge of Knowledge

Search

Genetic Programming with Negative Selection for Volunteer Computing System Optimization

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.

Citations

  • 6

    CrossRef

  • 0

    Web of Science

  • 8

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

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

seen 96 times

Recommended for you

Meta Tags