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Abstract
Volunteer computing systems provide a middleware for interaction between project owners and great number volunteers. In this chapter, a genetic programming paradigm has been proposed to a multi-objective scheduler design for efficient using some resources of volunteer computers via the web. In a studied problem, genetic scheduler can optimize both a workload of a bottleneck computer and cost of system. Genetic programming has been applied for finding the Pareto solutions by applying an immunological procedure. Finally, some numerical experiment outcomes have been discussed.
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Details
- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- Issues and Challenges in Artificial Intelligence strony 129 - 139
- Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Balicki J., Korłub W., Krawczyk H., Paluszak J.: Genetic Programming for Interaction Efficient Supporting in Volunteer Computing Systems// Issues and Challenges in Artificial Intelligence/ ed. Zdzisław S. Hippe, Juliusz L. Kulikowski, Teresa Mroczek, Jerzy Wtorek Cham, Switzerland: Springer International Publishing, 2014, s.129-139
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-06883-1_11
- Verified by:
- Gdańsk University of Technology
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