An architecture for user preference-based IoT service selection in cloud computing using mobile devices for smart campus

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dc.contributor.advisorDlodlo, Mqhele Een_ZA
dc.contributor.advisorWilliams, Quentinen_ZA
dc.contributor.advisorCoetzee, Louisen_ZA
dc.contributor.authorManqele, Lindelweyizizwe Siziween_ZA
dc.date.accessioned2015-08-14T14:27:13Z
dc.date.available2015-08-14T14:27:13Z
dc.date.issued2015en_ZA
dc.description.abstractThe Internet of things refers to the set of objects that have identities and virtual personalities operating in smart spaces using intelligent interfaces to connect and communicate within social environments and user context. Interconnected devices communicating to each other or to other machines on the network have increased the number of services. The concepts of discovery, brokerage, selection and reliability are important in dynamic environments. These concepts have emerged as an important field distinguished from conventional distributed computing by its focus on large-scale resource sharing, delivery and innovative applications. The usage of Internet of Things technology across different service provisioning environments has increased the challenges associated with service selection and discovery. Although a set of terms can be used to express requirements for the desired service, a more detailed and specific user interface would make it easy for the users to express their requirements using high-level constructs. In order to address the challenge of service selection and discovery, we developed an architecture that enables a representation of user preferences and manipulates relevant descriptions of available services. To ensure that the key components of the architecture work, algorithms (content-based and collaborative filtering) derived from the architecture were proposed. The architecture was tested by selecting services using content-based as well as collaborative algorithms. The performances of the algorithms were evaluated using response time. Their effectiveness was evaluated using recall and precision. The results showed that the content-based recommender system is more effective than the collaborative filtering recommender system. Furthermore, the results showed that the content-based technique is more time-efficient than the collaborative filtering technique.en_ZA
dc.identifier.apacitationManqele, L. S. (2015). <i>An architecture for user preference-based IoT service selection in cloud computing using mobile devices for smart campus</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/13731en_ZA
dc.identifier.chicagocitationManqele, Lindelweyizizwe Siziwe. <i>"An architecture for user preference-based IoT service selection in cloud computing using mobile devices for smart campus."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2015. http://hdl.handle.net/11427/13731en_ZA
dc.identifier.citationManqele, L. 2015. An architecture for user preference-based IoT service selection in cloud computing using mobile devices for smart campus. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Manqele, Lindelweyizizwe Siziwe AB - The Internet of things refers to the set of objects that have identities and virtual personalities operating in smart spaces using intelligent interfaces to connect and communicate within social environments and user context. Interconnected devices communicating to each other or to other machines on the network have increased the number of services. The concepts of discovery, brokerage, selection and reliability are important in dynamic environments. These concepts have emerged as an important field distinguished from conventional distributed computing by its focus on large-scale resource sharing, delivery and innovative applications. The usage of Internet of Things technology across different service provisioning environments has increased the challenges associated with service selection and discovery. Although a set of terms can be used to express requirements for the desired service, a more detailed and specific user interface would make it easy for the users to express their requirements using high-level constructs. In order to address the challenge of service selection and discovery, we developed an architecture that enables a representation of user preferences and manipulates relevant descriptions of available services. To ensure that the key components of the architecture work, algorithms (content-based and collaborative filtering) derived from the architecture were proposed. The architecture was tested by selecting services using content-based as well as collaborative algorithms. The performances of the algorithms were evaluated using response time. Their effectiveness was evaluated using recall and precision. The results showed that the content-based recommender system is more effective than the collaborative filtering recommender system. Furthermore, the results showed that the content-based technique is more time-efficient than the collaborative filtering technique. DA - 2015 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - An architecture for user preference-based IoT service selection in cloud computing using mobile devices for smart campus TI - An architecture for user preference-based IoT service selection in cloud computing using mobile devices for smart campus UR - http://hdl.handle.net/11427/13731 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/13731
dc.identifier.vancouvercitationManqele LS. An architecture for user preference-based IoT service selection in cloud computing using mobile devices for smart campus. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2015 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/13731en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleAn architecture for user preference-based IoT service selection in cloud computing using mobile devices for smart campusen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMSc (Eng)en_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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