QoS Aware Classification of Composite Web Services Using Rough Approximation

Salem Chakhar; AHMED ABUBAHIA; Farok  Bin Iqdara

doi:10.1007/978-3-030-85977-0

QoS Aware Classification of Composite Web Services Using Rough Approximation

Salem Chakhar, AHMED ABUBAHIA, Farok Bin Iqdara

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

Abstract

A typical Web service composition approach contains four phases: (1) construction of the compositions, (2) generation of executable plans, (3) classification of executable plans, and (4) selection and deployment of the best executable plan. This paper adopts and extends a graph based composition approach by using a more reliable classification method, namely Dominance-based Rough Set Approach (DRSA). This method is very suitable to take into account the Quality of Service (QoS) aspects in Web service composition. The paper also illustrates the application of the DRSA on a set of composite Web services and evaluates its performance.

Original language	English
Title of host publication	Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making
Subtitle of host publication	5th International Conference, ICIKS 2021, Virtual Event, June 22–23, 2021, Proceedings
Editors	Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Pierre-Emmanuel Arduin
Publisher	Springer Cham
Pages	152-167
Number of pages	152
Volume	425
Edition	1st
ISBN (Electronic)	9783030859770
ISBN (Print)	9783030859763
DOIs	https://doi.org/10.1007/978-3-030-85977-0
Publication status	Published - 28 Aug 2021

Publication series

Name	International Conference on Information and Knowledge Systems
Publisher	Springer
Volume	425

Keywords

Web service composition approach
construction of the compositions
generation of executable plans
classification of executable plans
selection and deployment of the best executable plan
graph based composition approach
reliable classification method
Dominance-based Rough Set Approach (DRSA)
Quality of Service (QoS)
Web service composition

Access to Document

10.1007/978-3-030-85977-0

Cite this

Chakhar, S., ABUBAHIA, AHMED., & Bin Iqdara, F. (2021). QoS Aware Classification of Composite Web Services Using Rough Approximation. In I. Saad, C. Rosenthal-Sabroux, F. Gargouri, & P.-E. Arduin (Eds.), Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making: 5th International Conference, ICIKS 2021, Virtual Event, June 22–23, 2021, Proceedings (1st ed., Vol. 425, pp. 152-167). (International Conference on Information and Knowledge Systems; Vol. 425). Springer Cham. https://doi.org/10.1007/978-3-030-85977-0

Chakhar, Salem ; ABUBAHIA, AHMED ; Bin Iqdara, Farok . / QoS Aware Classification of Composite Web Services Using Rough Approximation. Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making: 5th International Conference, ICIKS 2021, Virtual Event, June 22–23, 2021, Proceedings . editor / Inès Saad ; Camille Rosenthal-Sabroux ; Faiez Gargouri ; Pierre-Emmanuel Arduin. Vol. 425 1st. ed. Springer Cham, 2021. pp. 152-167 (International Conference on Information and Knowledge Systems).

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title = "QoS Aware Classification of Composite Web Services Using Rough Approximation",

abstract = "A typical Web service composition approach contains four phases: (1) construction of the compositions, (2) generation of executable plans, (3) classification of executable plans, and (4) selection and deployment of the best executable plan. This paper adopts and extends a graph based composition approach by using a more reliable classification method, namely Dominance-based Rough Set Approach (DRSA). This method is very suitable to take into account the Quality of Service (QoS) aspects in Web service composition. The paper also illustrates the application of the DRSA on a set of composite Web services and evaluates its performance.",

keywords = "Web service composition approach, construction of the compositions, generation of executable plans, classification of executable plans, selection and deployment of the best executable plan, graph based composition approach, reliable classification method, Dominance-based Rough Set Approach (DRSA), Quality of Service (QoS), Web service composition",

author = "Salem Chakhar and AHMED ABUBAHIA and {Bin Iqdara}, Farok",

year = "2021",

month = aug,

day = "28",

doi = "10.1007/978-3-030-85977-0",

language = "English",

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volume = "425",

series = "International Conference on Information and Knowledge Systems",

publisher = "Springer Cham",

pages = "152--167",

editor = "Saad, {In{\`e}s } and Camille Rosenthal-Sabroux and Gargouri, {Faiez } and Arduin, {Pierre-Emmanuel }",

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Chakhar, S, ABUBAHIA, AHMED & Bin Iqdara, F 2021, QoS Aware Classification of Composite Web Services Using Rough Approximation. in I Saad, C Rosenthal-Sabroux, F Gargouri & P-E Arduin (eds), Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making: 5th International Conference, ICIKS 2021, Virtual Event, June 22–23, 2021, Proceedings . 1st edn, vol. 425, International Conference on Information and Knowledge Systems, vol. 425, Springer Cham, pp. 152-167. https://doi.org/10.1007/978-3-030-85977-0

QoS Aware Classification of Composite Web Services Using Rough Approximation. / Chakhar, Salem; ABUBAHIA, AHMED; Bin Iqdara, Farok .
Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making: 5th International Conference, ICIKS 2021, Virtual Event, June 22–23, 2021, Proceedings . ed. / Inès Saad; Camille Rosenthal-Sabroux; Faiez Gargouri; Pierre-Emmanuel Arduin. Vol. 425 1st. ed. Springer Cham, 2021. p. 152-167 (International Conference on Information and Knowledge Systems; Vol. 425).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

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AU - ABUBAHIA, AHMED

AU - Bin Iqdara, Farok

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N2 - A typical Web service composition approach contains four phases: (1) construction of the compositions, (2) generation of executable plans, (3) classification of executable plans, and (4) selection and deployment of the best executable plan. This paper adopts and extends a graph based composition approach by using a more reliable classification method, namely Dominance-based Rough Set Approach (DRSA). This method is very suitable to take into account the Quality of Service (QoS) aspects in Web service composition. The paper also illustrates the application of the DRSA on a set of composite Web services and evaluates its performance.

AB - A typical Web service composition approach contains four phases: (1) construction of the compositions, (2) generation of executable plans, (3) classification of executable plans, and (4) selection and deployment of the best executable plan. This paper adopts and extends a graph based composition approach by using a more reliable classification method, namely Dominance-based Rough Set Approach (DRSA). This method is very suitable to take into account the Quality of Service (QoS) aspects in Web service composition. The paper also illustrates the application of the DRSA on a set of composite Web services and evaluates its performance.

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KW - generation of executable plans

KW - classification of executable plans

KW - selection and deployment of the best executable plan

KW - graph based composition approach

KW - reliable classification method

KW - Dominance-based Rough Set Approach (DRSA)

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KW - Web service composition

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EP - 167

BT - Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making

A2 - Saad, Inès

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Chakhar S, ABUBAHIA AHMED, Bin Iqdara F. QoS Aware Classification of Composite Web Services Using Rough Approximation. In Saad I, Rosenthal-Sabroux C, Gargouri F, Arduin PE, editors, Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making: 5th International Conference, ICIKS 2021, Virtual Event, June 22–23, 2021, Proceedings . 1st ed. Vol. 425. Springer Cham. 2021. p. 152-167. (International Conference on Information and Knowledge Systems). doi: 10.1007/978-3-030-85977-0

QoS Aware Classification of Composite Web Services Using Rough Approximation

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