PLMwsp: Probabilistic latent model for web service QoS prediction

Bobaker Mohamed A Madi; Quan Z. Sheng; Lina Yao; Yongrui Qin; Xianzhi Wang

doi:10.1109/ICWS.2016.86

PLMwsp: Probabilistic latent model for web service QoS prediction

Bobaker Mohamed A Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, Xianzhi Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

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 of Web services. A Web service prediction has been developed, and experiments have been conducted to show the efficacy of our approach.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Conference on Web Services, ICWS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	623-630
Number of pages	8
ISBN (Electronic)	9781509026753
DOIs	https://doi.org/10.1109/ICWS.2016.86
Publication status	Published - 31 Aug 2016
Event	23rd IEEE International Conference on Web Services - San Francisco, United States Duration: 27 Jun 2016 → 2 Jul 2016 Conference number: 23

Conference

Conference	23rd IEEE International Conference on Web Services
Abbreviated title	ICWS 2016
Country/Territory	United States
City	San Francisco
Period	27/06/16 → 2/07/16

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Cite this

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title = "PLMwsp: Probabilistic latent model for web service QoS prediction",

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 of Web services. A Web service prediction has been developed, and experiments have been conducted to show the efficacy of our approach.",

keywords = "Probabilistic latent model, Quality of service, Web service prediction, Web services",

author = "Madi, {Bobaker Mohamed A} and Sheng, {Quan Z.} and Lina Yao and Yongrui Qin and Xianzhi Wang",

year = "2016",

month = aug,

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doi = "10.1109/ICWS.2016.86",

language = "English",

pages = "623--630",

booktitle = "Proceedings - 2016 IEEE International Conference on Web Services, ICWS 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "23rd IEEE International Conference on Web Services, ICWS 2016 ; Conference date: 27-06-2016 Through 02-07-2016",

}

Madi, BMA, Sheng, QZ, Yao, L, Qin, Y & Wang, X 2016, PLMwsp: Probabilistic latent model for web service QoS prediction. in Proceedings - 2016 IEEE International Conference on Web Services, ICWS 2016., 7558056, Institute of Electrical and Electronics Engineers Inc., pp. 623-630, 23rd IEEE International Conference on Web Services, San Francisco, California, United States, 27/06/16. https://doi.org/10.1109/ICWS.2016.86

PLMwsp : Probabilistic latent model for web service QoS prediction. / Madi, Bobaker Mohamed A; Sheng, Quan Z.; Yao, Lina et al.

Proceedings - 2016 IEEE International Conference on Web Services, ICWS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 623-630 7558056.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T2 - 23rd IEEE International Conference on Web Services

AU - Madi, Bobaker Mohamed A

AU - Sheng, Quan Z.

AU - Yao, Lina

AU - Qin, Yongrui

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AB - 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 of Web services. A Web service prediction has been developed, and experiments have been conducted to show the efficacy of our approach.

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PLMwsp: Probabilistic latent model for web service QoS prediction

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