QoS aware classification of composite web services using rough approximation

Salem Chakhar; Ahmed Abubahia; Farok Wanes Bin Iqdara

doi:10.1007/978-3-030-85977-0_12

QoS aware classification of composite web services using rough approximation

Salem Chakhar, Ahmed Abubahia, Farok Wanes Bin Iqdara

Centre for Innovative and Sustainable Finance

University of Central Lancashire

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

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
Editors	Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Pierre-Emmanuel Arduin
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	152–167
Number of pages	16
Volume	425
ISBN (Electronic)	9783030859770
ISBN (Print)	9783030859763
DOIs	https://doi.org/10.1007/978-3-030-85977-0_12
Publication status	Published - 28 Aug 2021
Event	5th International Conference on Information and Knowledge Systems: ICIKS 2021 - Duration: 22 Jun 2021 → 23 Jun 2021

Publication series

Name	Lecture Notes in Business Information Processing
Publisher	Springer
ISSN (Print)	1865-1348

Conference

Conference	5th International Conference on Information and Knowledge Systems
Period	22/06/21 → 23/06/21

Keywords

Web service composition
Quality of Service
Dominance-based rough set approach
Classification
Decision Making
Artificial Intelligence

Access to Document

10.1007/978-3-030-85977-0_12

Embargoed Document

QoS Aware Classification of Composite Web Services using Rough Approximation
Accepted author manuscript (Post-print), 238 KB
Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 1/01/50

Cite this

Chakhar, S., Abubahia, A., & Bin Iqdara, F. W. (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 (Vol. 425, pp. 152–167). (Lecture Notes in Business Information Processing). Springer. https://doi.org/10.1007/978-3-030-85977-0_12

Chakhar, Salem ; Abubahia, Ahmed ; Bin Iqdara, Farok Wanes. / QoS aware classification of composite web services using rough approximation. Information and Knowledge Systems: Digital Technologies, Artificial Intelligence, and Decision Making. editor / Inès Saad ; Camille Rosenthal-Sabroux ; Faiez Gargouri ; Pierre-Emmanuel Arduin. Vol. 425 Cham, Switzerland : Springer, 2021. pp. 152–167 (Lecture Notes in Business Information Processing).

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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.",

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Chakhar, S, Abubahia, A & Bin Iqdara, FW 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. vol. 425, Lecture Notes in Business Information Processing, Springer, Cham, Switzerland, pp. 152–167, 5th International Conference on Information and Knowledge Systems, 22/06/21. https://doi.org/10.1007/978-3-030-85977-0_12

QoS aware classification of composite web services using rough approximation. / Chakhar, Salem; Abubahia, Ahmed; Bin Iqdara, Farok Wanes.
Information and Knowledge Systems: Digital Technologies, Artificial Intelligence, and Decision Making. ed. / Inès Saad; Camille Rosenthal-Sabroux; Faiez Gargouri; Pierre-Emmanuel Arduin. Vol. 425 Cham, Switzerland: Springer, 2021. p. 152–167 (Lecture Notes in Business Information Processing).

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

TY - GEN

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AU - Abubahia, Ahmed

AU - Bin Iqdara, Farok Wanes

PY - 2021/8/28

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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 - Quality of Service

KW - Dominance-based rough set approach

KW - Classification

KW - Decision Making

KW - Artificial Intelligence

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DO - 10.1007/978-3-030-85977-0_12

M3 - Conference contribution

SN - 9783030859763

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

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A2 - Gargouri, Faiez

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PB - Springer

CY - Cham, Switzerland

T2 - 5th International Conference on Information and Knowledge Systems

Y2 - 22 June 2021 through 23 June 2021

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Chakhar S, Abubahia A, Bin Iqdara FW. 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. Vol. 425. Cham, Switzerland: Springer. 2021. p. 152–167. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-030-85977-0_12

QoS aware classification of composite web services using rough approximation

Abstract

Publication series

Conference

Keywords

Access to Document

Embargoed Document

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Cite this