Automating Cloud Services Lifecycle through Semantic technologies

dc.contributor.authorJoshi, Karuna Pande
dc.contributor.authorYesha, Yelena
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-11-06T17:15:46Z
dc.date.available2018-11-06T17:15:46Z
dc.date.issued2014-01-01
dc.description2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI)en
dc.description.abstractManaging virtualized services efficiently over the cloud is an open challenge. Traditional models of software development are not appropriate for the cloud computing domain, where software (and other) services are acquired on demand. In this paper, we describe a new integrated methodology for the lifecycle of IT services delivered on the cloud, and demonstrate how it can be used to represent and reason about services and service requirements and so automate service acquisition and consumption from the cloud. We have divided the IT service lifecycle into five phases of requirements, discovery, negotiation, composition, and consumption. We detail each phase and describe the ontologies that we have developed to represent the concepts and relationships for each phase. To show how this lifecycle can automate the usage of cloud services, we describe a cloud storage prototype that we have developed. This methodology complements previous work on ontologies for service descriptions in that it is focused on supporting negotiation for the particulars of a service and going beyond simple matchmaking.en
dc.description.urihttps://ieeexplore.ieee.org/document/8366975en
dc.format.extent14 pagesen
dc.genreconference papers and proceedings pre-printen
dc.identifierdoi:10.13016/M2CF9JB02
dc.identifier.citationKaruna Pande Joshi, Yelena Yesha, and Tim Finin, Automating Cloud Services Lifecycle through Semantic technologies, IEEE Transactions on Service Computing, DOI: 10.1109/IoTDI.2018.00014en
dc.identifier.uri10.1109/IoTDI.2018.00014
dc.identifier.urihttp://hdl.handle.net/11603/11891
dc.language.isoenen
dc.publisherIEEEen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 2018 IEEE
dc.subjectActivity recognitionen
dc.subjectTarget recognitionen
dc.subjectComputational modelingen
dc.subjectAdaptation modelsen
dc.subjectMachine learningen
dc.subjecttransfer learningen
dc.subjectAutoencoder based ARen
dc.subjectHuman Activity Recognitionen
dc.subjectAccelerometer Sensoren
dc.subjectWearable Computingen
dc.subjectUMBC Ebiquity Research Groupen
dc.titleAutomating Cloud Services Lifecycle through Semantic technologiesen
dc.typeTexten

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