research-article

Service-oriented Application Composition with Evolutionary Heuristics and Multiple Criteria

Authors:

Derek L. Nazareth,

Hemant K. JainAuthors Info & Claims

ACM Transactions on Management Information Systems (TMIS), Volume 10, Issue 3

Article No.: 10, Pages 1 - 28

https://doi.org/10.1145/3354288

Published: 04 October 2019 Publication History

Abstract

The need to create and deploy business application systems rapidly has sparked interest in using web services to compose them. When creating mission-critical business applications through web service compositions, in addition to ensuring that functional requirements are met, designers need to consider the end-to-end reliability, security, performance, and overall cost of the application. As the number of available coarse-grain business services grows, the problem of selecting appropriate services quickly becomes combinatorially explosive for realistic-sized business applications. This article develops a business-process-driven approach for composing service-oriented applications. We use a combination of weights to explore the entire QoS criteria landscape through the use of a multi-criteria genetic algorithm (GA) to identify a Pareto-optimal multidimensional frontier that permits managers to trade off conflicting objectives when selecting a set of services. We illustrate the effectiveness of the approach by applying it to a real-world drop-ship business application and compare its performance to another GA-based approach for service composition.

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Cited By

Hameche SKhanouche MChibani ATari A(2023)A Group Teaching Optimization-Based Approach for Energy and QoS-Aware Internet of Things Services CompositionJournal of Network and Systems Management10.1007/s10922-023-09779-432:1Online publication date: 28-Oct-2023
https://dl.acm.org/doi/10.1007/s10922-023-09779-4
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cover image ACM Transactions on Management Information Systems

ACM Transactions on Management Information Systems Volume 10, Issue 3

Research Commentary and Regular Paper

September 2019

83 pages

ISSN:2158-656X

EISSN:2158-6578

DOI:10.1145/3361142

Editor:
Daniel Zeng
Chinese Academy of Sciences, China

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Publication History

Published: 04 October 2019

Accepted: 01 August 2019

Revised: 01 June 2019

Received: 01 October 2018

Published in TMIS Volume 10, Issue 3

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Cited By

Hameche SKhanouche MChibani ATari A(2023)A Group Teaching Optimization-Based Approach for Energy and QoS-Aware Internet of Things Services CompositionJournal of Network and Systems Management10.1007/s10922-023-09779-432:1Online publication date: 28-Oct-2023
https://dl.acm.org/doi/10.1007/s10922-023-09779-4
Ramasamy RChua FHaw SHo C(2022)WSFeIn: A Novel, Dynamic Web Service Composition Adapter for Cloud-Based Mobile ApplicationSustainability10.3390/su14211394614:21(13946)Online publication date: 27-Oct-2022
https://doi.org/10.3390/su142113946
Liu ZSampaio PPishchulov GMehandjiev NCisneros-Cabrera SSchirrmann AJiru FBnouhanna N(2022)The architectural design and implementation of a digital platform for Industry 4.0 SME collaborationComputers in Industry10.1016/j.compind.2022.103623138(103623)Online publication date: Jun-2022
https://doi.org/10.1016/j.compind.2022.103623
Seghir F(2021)A genetic algorithm with an elitism replacement method for solving the nonfunctional web service composition under fuzzy QoS parameters2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)10.1109/AIMS52415.2021.9466057(1-7)Online publication date: 28-Apr-2021
https://doi.org/10.1109/AIMS52415.2021.9466057
Bachras MKontogiannis K(2020)Goal Modelling Meets Service Choreography: A Graph Transformation Approach2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC)10.1109/EDOC49727.2020.00014(30-39)Online publication date: Oct-2020
https://doi.org/10.1109/EDOC49727.2020.00014

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