Paper Info
Title
Dynamic resource matching for multi-clusters based on an ontology-fuzzy approach
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.
Year
DOI
Venue
2009
10.1007/978-3-642-12659-8_18
high performance computing systems and applications
Keywords
Field
DocType
multi-cluster environment,fuzzy logic,successful utilization,dynamically monitored value,ontology paradigm,ontology-fuzzy approach,dynamic resource,fuzzy logic algorithm,grid environment,heterogeneous multi-cluster machine,communication link
Computer resources,Fuzzy electronics,Cluster (physics),Ontology,Computer science,Fuzzy logic,Meta-scheduling,Grid,Distributed computing
Conference
Volume
ISSN
Citations 
5976
0302-9743
2
PageRank 
References 
Authors
0.40
9
5
Name
Order
Citations
PageRank
Denise Janson120.73
Alexandre P. C. da Silva220.40
M. A. R. Dantas36411.07
Jinhui Qin4143.82
Michael A. Bauer533178.68