Title :
Ontology-Based Resource Management Model for Computational Grid
Author :
Ma, Yong ; Noh, Chang ; Lee, Jong
Author_Institution :
Sch. of Inf. Eng., Inha Univ., Incheon
Abstract :
Grid technology enables to share and use of various heterogeneous resources. However, it is very difficult to satisfy user requirements and benefits of resource providers. This paper proposes an ontology-based resource management model (ORMM). The model builds an ontology of ORMM for computational grid. As using the ontology and the inference based on some rules, we can reflect requirements of resource users, conclude more transactions, and reduce resting resources. To evaluate performances, the number of transactions, transaction period, and cumulative profits are measured. In experiments, ORMM increases about 32% of greater transactions, reduces about 40% of transaction period. Experimental results demonstrate that the proposed model can improve the efficiency of resource management in the computational grid environment.
Keywords :
formal specification; grid computing; ontologies (artificial intelligence); resource allocation; computational grid; ontology-based resource management model; transaction period; user requirement; Computational modeling; Environmental economics; Grid computing; Information technology; Internet; Marketing and sales; Ontologies; Performance evaluation; Resource management; Supply chain management; Computational Grid; Ontology-based; Resource Management;
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
DOI :
10.1109/ICCIT.2008.253