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A Survey on Resource Management in Cloud Computing Using Ontology Approach


Affiliations
1 Research and Development Center, Bharathiar University, Coimbatore, India
2 Department of Computer Science and Engineering, RVS College of Engineering and Technology, Sulur, India
     

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Cloud computing is a new computing technology of this Internet World. Clouds are a large pool of easily usable and accessible virtualized resources (such as hardware, development platforms and/or services) and accessed via standard protocols and interface with respect to the cloud architecture. Aggregating and monitoring these resources and matching suitable resources for the application become a challenging issue. This paper suggests a semantic component in the cloud architecture to support ontology-based representation and facilitates context-based information retrieval that complements cloud schedulers for effective resource management.

Keywords

Cloud Computing, Semantics, Ontology, Resource Management, Resource Allocation.
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  • A Survey on Resource Management in Cloud Computing Using Ontology Approach

Abstract Views: 242  |  PDF Views: 3

Authors

R. Lakshmi Devi
Research and Development Center, Bharathiar University, Coimbatore, India
L. S. Jayashree
Department of Computer Science and Engineering, RVS College of Engineering and Technology, Sulur, India

Abstract


Cloud computing is a new computing technology of this Internet World. Clouds are a large pool of easily usable and accessible virtualized resources (such as hardware, development platforms and/or services) and accessed via standard protocols and interface with respect to the cloud architecture. Aggregating and monitoring these resources and matching suitable resources for the application become a challenging issue. This paper suggests a semantic component in the cloud architecture to support ontology-based representation and facilitates context-based information retrieval that complements cloud schedulers for effective resource management.

Keywords


Cloud Computing, Semantics, Ontology, Resource Management, Resource Allocation.