Dynamic resource matching for multi-clusters based on an ontology-fuzzy approach

Authors:
Denise Janson;Alexandre P. C. da Silva;M. A. R. Dantas;Jinhui Qin;Michael A. Bauer
Affiliations:
Post-Graduate Program in Computer Science (PPGCC), Universidade Federal de Santa Catarina (UFSC), Florianopolis, Brazil;Post-Graduate Program in Computer Science (PPGCC), Universidade Federal de Santa Catarina (UFSC), Florianopolis, Brazil;Post-Graduate Program in Computer Science (PPGCC), Universidade Federal de Santa Catarina (UFSC), Florianopolis, Brazil;Department of Computer Science, University of Western Onatrio, London, Ontario, Canada;Department of Computer Science, University of Western Onatrio, London, Ontario, Canada
Venue:
HPCS'09 Proceedings of the 23rd international conference on High Performance Computing Systems and Applications
Year:
2009

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Abstract

One key aspect for the successful utilization of grid environments is how to efficiently schedule distributed and parallel applications to these configurations. It is also desirable to make the tlymatching operation of available resources as transparent as possible to the user. These aspects are especially important for grid environments formed by heterogeneous multi-cluster machines. In this paper, we present an approach that considers both computer resources and communication links. The approach is based on a combination of ontology and fuzzy logic. The ontology paradigm is employed as a standard interface to accept users’s requirements for desired resources. The fuzzy logic algorithms are used to compute parameters for matching based on dynamically monitored values of processor usage and communication. Experimental results indicate that the proposed approach is successful in terms of gathering dynamically more appropriate distributed resources and communication links in multi-cluster environments.