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Survey for service selection approaches in dynamic environments

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dc.contributor.author Manqele, Lindelweyizizwe S
dc.contributor.author Dlodlo, M
dc.contributor.author Coetzee, Louis
dc.contributor.author Sibiya, Mhlupheki G
dc.date.accessioned 2018-05-11T11:47:03Z
dc.date.available 2018-05-11T11:47:03Z
dc.date.issued 2017-09
dc.identifier.citation Manqele, L.S. et al. 2017. Survey for service selection approaches in dynamic environments. 13th IEEE IES AFRICON 2017, 18-20 September 2017, Cape Town, South Africa en_US
dc.identifier.isbn 978-1-5386-2775-4
dc.identifier.isbn 978-1-5386-2776-1
dc.identifier.issn 2153-0033
dc.identifier.uri https://ieeexplore.ieee.org/document/8095627/
dc.identifier.uri DOI: 10.1109/AFRCON.2017.8095627
dc.identifier.uri http://hdl.handle.net/10204/10189
dc.description Copyright: 2017 IEEE. This is the accepted version of the published item. en_US
dc.description.abstract The usage of the service selection approaches across different dynamic service provisioning environments has increased the challenges associated with an effective method that can be used to select a relevant service. The use of service selection approach should depend on certain factors. In order to address this challenge, the literature analysis is conducted on various service selection approaches. A proposed approach needs to be tested by manipulating the relevant services description of available services. This paper, proposes various aspects that needs to be considered when choosing a method of service selection. The aspects were used in a scenario to select the effective method and later the method was evaluated based on response time, recall and precision metrics. The experiments showed that the approach works better based on the results yielded among the technical algorithms applied on the approach. The content-based algorithm returned more relevant services to the user and took shorter time as compared to the collaborative filtering. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Worklist;19355
dc.subject Service selection en_US
dc.subject Internet of Things en_US
dc.subject Cloud computing en_US
dc.subject Big data en_US
dc.subject Dynamic environments en_US
dc.title Survey for service selection approaches in dynamic environments en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Manqele, L. S., Dlodlo, M., Coetzee, L., & Sibiya, M. G. (2017). Survey for service selection approaches in dynamic environments. IEEE. http://hdl.handle.net/10204/10189 en_ZA
dc.identifier.chicagocitation Manqele, Lindelweyizizwe S, M Dlodlo, Louis Coetzee, and Mhlupheki G Sibiya. "Survey for service selection approaches in dynamic environments." (2017): http://hdl.handle.net/10204/10189 en_ZA
dc.identifier.vancouvercitation Manqele LS, Dlodlo M, Coetzee L, Sibiya MG, Survey for service selection approaches in dynamic environments; IEEE; 2017. http://hdl.handle.net/10204/10189 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Manqele, Lindelweyizizwe S AU - Dlodlo, M AU - Coetzee, Louis AU - Sibiya, Mhlupheki G AB - The usage of the service selection approaches across different dynamic service provisioning environments has increased the challenges associated with an effective method that can be used to select a relevant service. The use of service selection approach should depend on certain factors. In order to address this challenge, the literature analysis is conducted on various service selection approaches. A proposed approach needs to be tested by manipulating the relevant services description of available services. This paper, proposes various aspects that needs to be considered when choosing a method of service selection. The aspects were used in a scenario to select the effective method and later the method was evaluated based on response time, recall and precision metrics. The experiments showed that the approach works better based on the results yielded among the technical algorithms applied on the approach. The content-based algorithm returned more relevant services to the user and took shorter time as compared to the collaborative filtering. DA - 2017-09 DB - ResearchSpace DP - CSIR KW - Service selection KW - Internet of Things KW - Cloud computing KW - Big data KW - Dynamic environments LK - https://researchspace.csir.co.za PY - 2017 SM - 978-1-5386-2775-4 SM - 978-1-5386-2776-1 SM - 2153-0033 T1 - Survey for service selection approaches in dynamic environments TI - Survey for service selection approaches in dynamic environments UR - http://hdl.handle.net/10204/10189 ER - en_ZA


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