• 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