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