Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/110042
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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Madi, B. | - |
dc.contributor.author | Sheng, Q. | - |
dc.contributor.author | Yao, L. | - |
dc.contributor.author | Qin, Y. | - |
dc.contributor.author | Wang, X. | - |
dc.contributor.editor | ReiffMarganiec, S. | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Proceedings of the 2016 IEEE International Conference on Web Services, 2016 / ReiffMarganiec, S. (ed./s), pp.623-630 | - |
dc.identifier.isbn | 9781509026753 | - |
dc.identifier.uri | http://hdl.handle.net/2440/110042 | - |
dc.description.abstract | With the unprecedented and dramatic development of Web services in recent years, designing novel approaches for efficient Web service prediction has become of paramount importance. Quality of Service (QoS) plays a critical role in Web service recommendation. However determining QoS values of Web services is still a challenging task. For example, some QoS properties (e.g., response time, throughput) may hold different values for different users. In this paper, we describe how to develop a novel approach, PLMwsp, based on a probabilistic latent model, to predict effectively the QoS values ofWeb services. A Web service prediction has been developed, and experiments have been conducted to show the efficacy of our approach. | - |
dc.description.statementofresponsibility | Bobaker Mohamed A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, and Xianzhi Wang | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.rights | © 2016 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/icws.2016.86 | - |
dc.subject | Web Services; Quality of Service; Web Service Prediction; Probabilistic Latent Model | - |
dc.title | PLMwsp: Probabilistic latent model for web service QoS prediction | - |
dc.type | Conference paper | - |
dc.contributor.conference | IEEE 23rd International Conference on Web Services (ICWS) (27 Jun 2016 - 2 Jul 2016 : San Francisco, CA) | - |
dc.identifier.doi | 10.1109/ICWS.2016.86 | - |
pubs.publication-status | Published | - |
Appears in Collections: | Aurora harvest 8 Computer Science publications |
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RA_hdl_110042.pdf | Restricted Access | 657 kB | Adobe PDF | View/Open |
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