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dc.contributor.authorAktas, M. S.
dc.contributor.authorAstekin, Merve
dc.date.accessioned2017-10-30T05:59:04Z
dc.date.available2017-10-30T05:59:04Z
dc.date.issued2019-02-10
dc.identifier.issn1532-0626en_US
dc.identifier.urihttp://hdl.handle.net/10679/5715
dc.identifier.urihttp://onlinelibrary.wiley.com/doi/10.1002/cpe.4263/full
dc.description.abstractWe propose a run-time verification mechanism of things for self-healing capability in the Internet of Things domain. We discuss the software architecture of the proposed verification mechanism and its prototype implementations. To identify faulty running behavior of things, we utilize a complex event processing technique by applying rule-based pattern detection on the events generated real time. For events, we use a descriptor metadata of the measurements (such as CPU usage, memory usage, and bandwidth usage) taken from Internet of Things devices. To understand the usability and effectiveness of the proposed mechanism, we developed prototype applications using different event processing platforms. We test the prototype implementations for performance and scalability under increasing message rates. The results are promising because the processing overhead of the proposed verification mechanism is negligible.en_US
dc.description.sponsorshipTÜBİTAK ; Provenance Use in Social Media Software to Develop Methodologies for Detection of Information Pollution and Violation of Copyrights
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/114E781
dc.relation.ispartofConcurrency and Computation: Practice and Experience
dc.rightsrestrictedAccess
dc.titleProvenance aware run-time verification of things for self-healing Internet of Things applicationsen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0003-4181-963X & YÖK ID ) Astekin, Merve
dc.contributor.ozuauthorAstekin, Merve
dc.identifier.volume31
dc.identifier.issue3
dc.identifier.wosWOS:000454928300004
dc.identifier.doi10.1002/cpe.4263en_US
dc.subject.keywordsBig dataen_US
dc.subject.keywordsComplex event processingen_US
dc.subject.keywordsInternet of thingsen_US
dc.subject.keywordsRun-time verificationen_US
dc.subject.keywordsSelf-healing systemsen_US
dc.identifier.scopusSCOPUS:2-s2.0-85026444425
dc.contributor.authorFemale1


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