The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Grid Information Services for Distributed Resource Sharing
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
A semantic matchmaker service on the grid
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Using Ontology for Description of Grid Resources
HPCS '05 Proceedings of the 19th International Symposium on High Performance Computing Systems and Applications
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Next generation knowledge management
BT Technology Journal
A Grid service broker for scheduling e-Science applications on global data Grids: Research Articles
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing
The Journal of Supercomputing
Semantic Discovery of Grid Services Using Functionality Based Matchmaking Algorithm
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Automating Experiments Using Semantic Data on a Bioinformatics Grid
IEEE Intelligent Systems
Towards building a semantic grid for E-government applications
WSEAS Transactions on Computer Research
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
An overview of S-OGSA: A Reference Semantic Grid Architecture
Web Semantics: Science, Services and Agents on the World Wide Web
Rule-based distributed and agent systems
RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
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Grid resources are typically diverse in nature with respect to their software and hardware configurations, resource usage policies and the kind of application they support. Aggregating and monitoring these resources, and discovering suitable resources for the applications become a challenging issue. This is partially due to the representation of Grid metadata supported by the existing Grid middleware which offers limited scope for matching the job requirements that directly affect scheduling decisions. This paper proposes a semantic component in conventional Grid architecture to support ontology-based representation of Grid metadata and facilitate context-based information retrieval that complements Grid schedulers for effective resource management. Web Ontology language is used for creating Grid resource ontology and Algernon inference engine has been used for resource discovery. This semantic component has been integrated with conventional Grid schedulers. Several experiments have also been carried out to investigate the performance overhead that arises while integrating this component with Grid schedulers. Copyright © 2009 John Wiley & Sons, Ltd.