Abstract
As we are moving ahead with cloud computing, preference for cloud services is getting increased day by day. These services mostly seem to be significantly identical in their functionality excepting their key attributes like storage, computational power, price, etc. As of now, there is no uniform specification for defining a service in the cloud domain. In order for the specification of the identical operations and publication of the services on the websites, different cloud service providers tend to use completely different vocabulary. The process of requesting for a cloud service becomes merely a challenging task as a result of increasing number of selection parameters and QoS constraints. Hence, a reasoning mechanism is very much required for service discovery that could resolve the resemblance appearing across different services with reference to the respective cloud ontology. In this paper, a semantic matchmaking technique is proposed for most relevant cloud service discovery and selection procedure based on Service-Oriented Architecture (SOA).
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Parhi, M., Jena, S.K., Panda, N., Pattanayak, B.K. (2021). A Semantic Matchmaking Technique for Cloud Service Discovery and Selection Using Ontology Based on Service-Oriented Architecture. In: Mishra, D., Buyya, R., Mohapatra, P., Patnaik, S. (eds) Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, vol 194. Springer, Singapore. https://doi.org/10.1007/978-981-15-5971-6_4
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DOI: https://doi.org/10.1007/978-981-15-5971-6_4
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