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 |