Hasny, F., Mensah, S. orcid.org/0000-0003-0779-5574, Yi, D. et al. (2 more authors) (2016) Predicting the quality of web services based on user stability. In: 2016 IEEE International Conference on Services Computing (SCC). IEEE International Conference on Services Computing (SCC), 27 Jun - 02 Jul 2016, San Francisco, CA, USA. IEEE (Institute of Electrical and Electronics Engineers) , pp. 860-863. ISBN 9781509026296
Abstract
The development of web services and web APIs offers software developers great opportunities for choosing reliable services. However, the quality of these web services are often not available. Existing quality of web service prediction methods adopts the recommender system related techniques to predict the service quality. In these approaches, the behaviour of service invokers do not change. In reality, the service invokers network conditions are changing all the time. This fact inspires us jointly to consider the stability of service invokers network environment when building a prediction model. In specific, a reliability model is adopted for stability calculation and a recommendation algorithm is proposed in this paper. The advantages of our proposed algorithm is confirmed via experiments on a real-life quality of web service data set and comparison with existing quality of web service predicting algorithms.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 IEEE. |
Keywords: | Web services; QoS Performance; Response Time |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Aug 2021 13:35 |
Last Modified: | 11 Aug 2021 13:35 |
Status: | Published |
Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
Refereed: | Yes |
Identification Number: | 10.1109/SCC.2016.124 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177003 |