Analyzing QoS for web service compositions by QoSDIST

Huiyuan Zheng; Jian Yang; Weiliang Zhao

doi:10.1007/978-3-642-31875-7_32

Analyzing QoS for web service compositions by QoSDIST

Huiyuan Zheng^*, Jian Yang, Weiliang Zhao

^*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Quality of Service (QoS) analysis and prediction for Web service compositions is an important and challenging issue in distributed computing. In existing work, QoS for service compositions is either calculated based on constant QoS values or simulated based on probabilistic QoS distributions of component services. Simulation method is time consuming and can not be used in real-time applications for dynamic Web service compositions. Experimental results in [5] show that our proposed QoS calculation approach significantly improves the efficiency in QoS estimation when the QoS of component Web services are probability distributions. In this paper, we present a tool QoSDIST to analyze the QoS for Web service compositions based on our proposed QoS calculation method in [5]. QoSDIST does not put any constraints on the modeling of the QoS of component Web services, i.e., the QoS of a component Web service can be in single value, discrete values with frequencies, standard statistical distribution, or any general distribution regardless of its shape.

Original language	English
Title of host publication	Service-Oriented Computing, ICSOC 2011 Workshops - ICSOC 2011 International Workshops, WESOA, NFPSLAM-SOC, and Satellite Events, Revised Selected Papers
Editors	George Pallis, Mohamed Jmaiel, Anis Charfi, Sven Graupner, Yücel Karabulut, Sam Guinea, Florian Rosenberg, Quan Z. Sheng, Cesare Pautasso, Sonia Ben Mokhtar
Place of Publication	Heidelberg, Germany
Publisher	Springer, Springer Nature
Pages	246-247
Number of pages	2
Volume	7221 LNCS
ISBN (Print)	9783642318740
DOIs	https://doi.org/10.1007/978-3-642-31875-7_32
Publication status	Published - 2012
Event	2011 International Conference on Service-Oriented Computing, ICSOC 2011 - Paphos, Cyprus Duration: 5 Dec 2011 → 8 Dec 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7221 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	2011 International Conference on Service-Oriented Computing, ICSOC 2011
Country/Territory	Cyprus
City	Paphos
Period	5/12/11 → 8/12/11

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10.1007/978-3-642-31875-7_32

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Zheng, H., Yang, J., & Zhao, W. (2012). Analyzing QoS for web service compositions by QoSDIST. In G. Pallis, M. Jmaiel, A. Charfi, S. Graupner, Y. Karabulut, S. Guinea, F. Rosenberg, Q. Z. Sheng, C. Pautasso, & S. B. Mokhtar (Eds.), Service-Oriented Computing, ICSOC 2011 Workshops - ICSOC 2011 International Workshops, WESOA, NFPSLAM-SOC, and Satellite Events, Revised Selected Papers (Vol. 7221 LNCS, pp. 246-247). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7221 LNCS). Springer, Springer Nature. https://doi.org/10.1007/978-3-642-31875-7_32

Zheng, Huiyuan ; Yang, Jian ; Zhao, Weiliang. / Analyzing QoS for web service compositions by QoSDIST. Service-Oriented Computing, ICSOC 2011 Workshops - ICSOC 2011 International Workshops, WESOA, NFPSLAM-SOC, and Satellite Events, Revised Selected Papers. editor / George Pallis ; Mohamed Jmaiel ; Anis Charfi ; Sven Graupner ; Yücel Karabulut ; Sam Guinea ; Florian Rosenberg ; Quan Z. Sheng ; Cesare Pautasso ; Sonia Ben Mokhtar. Vol. 7221 LNCS Heidelberg, Germany : Springer, Springer Nature, 2012. pp. 246-247 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Analyzing QoS for web service compositions by QoSDIST",

abstract = "Quality of Service (QoS) analysis and prediction for Web service compositions is an important and challenging issue in distributed computing. In existing work, QoS for service compositions is either calculated based on constant QoS values or simulated based on probabilistic QoS distributions of component services. Simulation method is time consuming and can not be used in real-time applications for dynamic Web service compositions. Experimental results in [5] show that our proposed QoS calculation approach significantly improves the efficiency in QoS estimation when the QoS of component Web services are probability distributions. In this paper, we present a tool QoSDIST to analyze the QoS for Web service compositions based on our proposed QoS calculation method in [5]. QoSDIST does not put any constraints on the modeling of the QoS of component Web services, i.e., the QoS of a component Web service can be in single value, discrete values with frequencies, standard statistical distribution, or any general distribution regardless of its shape.",

author = "Huiyuan Zheng and Jian Yang and Weiliang Zhao",

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Zheng, H, Yang, J & Zhao, W 2012, Analyzing QoS for web service compositions by QoSDIST. in G Pallis, M Jmaiel, A Charfi, S Graupner, Y Karabulut, S Guinea, F Rosenberg, QZ Sheng, C Pautasso & SB Mokhtar (eds), Service-Oriented Computing, ICSOC 2011 Workshops - ICSOC 2011 International Workshops, WESOA, NFPSLAM-SOC, and Satellite Events, Revised Selected Papers. vol. 7221 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7221 LNCS, Springer, Springer Nature, Heidelberg, Germany, pp. 246-247, 2011 International Conference on Service-Oriented Computing, ICSOC 2011, Paphos, Cyprus, 5/12/11. https://doi.org/10.1007/978-3-642-31875-7_32

Analyzing QoS for web service compositions by QoSDIST. / Zheng, Huiyuan; Yang, Jian ; Zhao, Weiliang.
Service-Oriented Computing, ICSOC 2011 Workshops - ICSOC 2011 International Workshops, WESOA, NFPSLAM-SOC, and Satellite Events, Revised Selected Papers. ed. / George Pallis; Mohamed Jmaiel; Anis Charfi; Sven Graupner; Yücel Karabulut; Sam Guinea; Florian Rosenberg; Quan Z. Sheng; Cesare Pautasso; Sonia Ben Mokhtar. Vol. 7221 LNCS Heidelberg, Germany: Springer, Springer Nature, 2012. p. 246-247 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7221 LNCS).

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

TY - GEN

T1 - Analyzing QoS for web service compositions by QoSDIST

AU - Zheng, Huiyuan

AU - Yang, Jian

AU - Zhao, Weiliang

PY - 2012

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N2 - Quality of Service (QoS) analysis and prediction for Web service compositions is an important and challenging issue in distributed computing. In existing work, QoS for service compositions is either calculated based on constant QoS values or simulated based on probabilistic QoS distributions of component services. Simulation method is time consuming and can not be used in real-time applications for dynamic Web service compositions. Experimental results in [5] show that our proposed QoS calculation approach significantly improves the efficiency in QoS estimation when the QoS of component Web services are probability distributions. In this paper, we present a tool QoSDIST to analyze the QoS for Web service compositions based on our proposed QoS calculation method in [5]. QoSDIST does not put any constraints on the modeling of the QoS of component Web services, i.e., the QoS of a component Web service can be in single value, discrete values with frequencies, standard statistical distribution, or any general distribution regardless of its shape.

AB - Quality of Service (QoS) analysis and prediction for Web service compositions is an important and challenging issue in distributed computing. In existing work, QoS for service compositions is either calculated based on constant QoS values or simulated based on probabilistic QoS distributions of component services. Simulation method is time consuming and can not be used in real-time applications for dynamic Web service compositions. Experimental results in [5] show that our proposed QoS calculation approach significantly improves the efficiency in QoS estimation when the QoS of component Web services are probability distributions. In this paper, we present a tool QoSDIST to analyze the QoS for Web service compositions based on our proposed QoS calculation method in [5]. QoSDIST does not put any constraints on the modeling of the QoS of component Web services, i.e., the QoS of a component Web service can be in single value, discrete values with frequencies, standard statistical distribution, or any general distribution regardless of its shape.

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VL - 7221 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A2 - Pautasso, Cesare

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PB - Springer, Springer Nature

CY - Heidelberg, Germany

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Zheng H, Yang J , Zhao W. Analyzing QoS for web service compositions by QoSDIST. In Pallis G, Jmaiel M, Charfi A, Graupner S, Karabulut Y, Guinea S, Rosenberg F, Sheng QZ, Pautasso C, Mokhtar SB, editors, Service-Oriented Computing, ICSOC 2011 Workshops - ICSOC 2011 International Workshops, WESOA, NFPSLAM-SOC, and Satellite Events, Revised Selected Papers. Vol. 7221 LNCS. Heidelberg, Germany: Springer, Springer Nature. 2012. p. 246-247. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-31875-7_32

Analyzing QoS for web service compositions by QoSDIST

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