Recommendation of Web Service Selection Algorithm Based on Web Application Review

Ryuichi Takahashi; Kazuma Nishida; Yoshiaki Fukazawa

doi:10.1109/TENCON.2018.8650066

Recommendation of Web Service Selection Algorithm Based on Web Application Review

Ryuichi Takahashi, Kazuma Nishida, Yoshiaki Fukazawa

School of Fundamental Science and Engineering

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

1 Citation (Scopus)

Abstract

As the number of web services has increased, the number of services with the same functions has steadily risen. Consequently, many QoS (Quality of Service)-based service selection algorithms have been proposed to determine which service should be selected among those with the same functions. The prediction accuracy of the QoS attribute depends on the selection algorithm. In addition, the appropriate selection algorithm depends on the type of domain. For example, a stock notification service, which relies on real-time transactions, should employ a selection algorithm with a highly accurate response time. However, an automated method to recommend the optimal service selection algorithm has yet to be established. In this paper, we propose a method to recommend selection algorithms.

Original language	English
Title of host publication	Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1882-1887
Number of pages	6
ISBN (Electronic)	9781538654576
DOIs	https://doi.org/10.1109/TENCON.2018.8650066
Publication status	Published - 2018 Jul 2
Event	2018 IEEE Region 10 Conference, TENCON 2018 - Jeju, Korea, Republic of Duration: 2018 Oct 28 → 2018 Oct 31

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	2018-October
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2018 IEEE Region 10 Conference, TENCON 2018
Country/Territory	Korea, Republic of
City	Jeju
Period	18/10/28 → 18/10/31

Keywords

algorithm selection
review analysis
service oriented computing

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TENCON.2018.8650066

Cite this

Takahashi, R., Nishida, K., & Fukazawa, Y. (2018). Recommendation of Web Service Selection Algorithm Based on Web Application Review. In Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference (pp. 1882-1887). Article 8650066 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2018-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2018.8650066

Recommendation of Web Service Selection Algorithm Based on Web Application Review. / Takahashi, Ryuichi; Nishida, Kazuma; Fukazawa, Yoshiaki.
Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1882-1887 8650066 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2018-October).

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

Takahashi, R, Nishida, K & Fukazawa, Y 2018, Recommendation of Web Service Selection Algorithm Based on Web Application Review. in Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference., 8650066, IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2018-October, Institute of Electrical and Electronics Engineers Inc., pp. 1882-1887, 2018 IEEE Region 10 Conference, TENCON 2018, Jeju, Korea, Republic of, 18/10/28. https://doi.org/10.1109/TENCON.2018.8650066

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abstract = "As the number of web services has increased, the number of services with the same functions has steadily risen. Consequently, many QoS (Quality of Service)-based service selection algorithms have been proposed to determine which service should be selected among those with the same functions. The prediction accuracy of the QoS attribute depends on the selection algorithm. In addition, the appropriate selection algorithm depends on the type of domain. For example, a stock notification service, which relies on real-time transactions, should employ a selection algorithm with a highly accurate response time. However, an automated method to recommend the optimal service selection algorithm has yet to be established. In this paper, we propose a method to recommend selection algorithms.",

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Recommendation of Web Service Selection Algorithm Based on Web Application Review

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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