DocumentCode :
226754
Title :
Ontology-based service matching in cloud computing
Author :
Li Liu ; Xiaofen Yao ; Liangjuan Qin ; Miao Zhang
Author_Institution :
Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
2544
Lastpage :
2550
Abstract :
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.
Keywords :
cloud computing; contracts; inference mechanisms; ontologies (artificial intelligence); quality of service; QoS requirements; SLA; cloud computing; cloud service discovery; logic matchmaking; ontology reasoning; ontology-based service matching; service level agreements; Cognition; Educational institutions; Measurement; Ontologies; Quality of service; Semantics; Time factors; Cloud Computing; Ontology; Service Discovery; Service Level Agreements (SLA);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2014.6891698
Filename :
6891698
Link To Document :
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