Ontology-based service matching in cloud computing
Li Liu, Xiaofen Yao, Liangjuan Qin, Miao Zhang · 2014
This paper focuses on how to maximize accuracy of Cloud service discovery and give enough flexibility to Cloud customers to discover their best suited services from a range of Cloud providers. An ontology-based Cloud service discovery approach is proposed, which works based on modeling semantically enriched Cloud services, ontology reasoning and logic matchmaking. Cloud customers have different preferences for non-functional attributes, ranking discovered services according their preference can help select the most appropriate cloud service. Experimental results show that the discovered services not only meet customer's requirements in semantics but also satisfy QoS requirements given in the terms of SLA.