Abstract
Resource management is a challenging issue in cloud computing. This paper aims to allocate requested jobs to cloud resources suitable for cloud user requirements. To achieve the aim, this paper proposes an ontology-based job allocation algorithm for cloud computing to perform inferences based on semantic meanings. We extract resource candidates depending on user requirements and allocate a job to the most suitable candidate for an agreed Service Level Agreement (SLA). The cloud ontology allows the proposed system to define concepts and describe their relations. Hence, we can process complicated queries for searching cloud resources. To evaluate performance of our system, we conducted some experiments compared with the existing resource management algorithms. Experimental results verify that the ontology-based resource management system improves the efficiency of resource management for cloud computing.
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Ma, Y.B., Jang, S.H., Lee, J.S. (2011). Ontology-Based Resource Management for Cloud Computing. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20042-7_35
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DOI: https://doi.org/10.1007/978-3-642-20042-7_35
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