PLMwsp: A 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: A 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 proceeding 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	ICWS 2016
Subtitle of host publication	IEEE International Conference on Web Services : proceedings
Editors	Stephan Reiff-Marganiec
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
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
Externally published	Yes
Event	23rd IEEE International Conference on Web Services, ICWS 2016 - San Francisco, United States Duration: 27 Jun 2016 → 2 Jul 2016

Other

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

Keywords

Probabilistic latent model
Quality of service
Web service prediction
Web services

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10.1109/ICWS.2016.86

Cite this

@inproceedings{249c1638950d4543be0ab765a2e8e635,

title = "PLMwsp: A 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,

day = "31",

doi = "10.1109/ICWS.2016.86",

language = "English",

pages = "623--630",

editor = "Stephan Reiff-Marganiec",

booktitle = "ICWS 2016",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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: A probabilistic latent model for web service QoS prediction. in S Reiff-Marganiec (ed.), ICWS 2016: IEEE International Conference on Web Services : proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 623-630, 23rd IEEE International Conference on Web Services, ICWS 2016, San Francisco, United States, 27/06/16. https://doi.org/10.1109/ICWS.2016.86

PLMwsp: A probabilistic latent model for web service QoS prediction. / Madi, Bobaker Mohamed A; Sheng, Quan Z.; Yao, Lina et al.
ICWS 2016: IEEE International Conference on Web Services : proceedings. ed. / Stephan Reiff-Marganiec. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 623-630.

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

TY - GEN

T1 - PLMwsp

T2 - 23rd IEEE International Conference on Web Services, ICWS 2016

AU - Madi, Bobaker Mohamed A

AU - Sheng, Quan Z.

AU - Yao, Lina

AU - Qin, Yongrui

AU - Wang, Xianzhi

PY - 2016/8/31

Y1 - 2016/8/31

N2 - 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.

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.

KW - Probabilistic latent model

KW - Quality of service

KW - Web service prediction

KW - Web services

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DO - 10.1109/ICWS.2016.86

M3 - Conference proceeding contribution

AN - SCOPUS:84991011482

SP - 623

EP - 630

BT - ICWS 2016

A2 - Reiff-Marganiec, Stephan

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

Y2 - 27 June 2016 through 2 July 2016

ER -

PLMwsp: A probabilistic latent model for web service QoS prediction

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