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Recursive multi-agent system for dynamic and adaptative web services composition

Authors:

Anissa Abrougui,

Annabelle Mercier,

Michel Occello,

Marc-Philippe HugetAuthors Info & Claims

MEDES '09: Proceedings of the International Conference on Management of Emergent Digital EcoSystems

Article No.: 44, Pages 295 - 299

https://doi.org/10.1145/1643823.1643877

Published: 27 October 2009 Publication History

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Abstract

Web services (WS) are software components that offer functionalities for users through Internet. WS composition is a way to fulfill a complex request which can't be achieved by a single service. WS composition's approaches do not offer a dynamic and adaptative composition. In this paper, we defend recursive multi-agent systems as efficient tools to solve this problem and we propose a recursive multi-agent system based model for dynamic and adaptative WS composition.

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Cited By

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Rai GGangadharan GPadmanabhan VBuyya R(2018)Web Service Interaction Modeling and Verification Using Recursive Composition AlgebraIEEE Transactions on Services Computing10.1109/TSC.2018.2789454(1-1)Online publication date: 2018
https://doi.org/10.1109/TSC.2018.2789454
Lian WDuan HYan JLiang YZeng Q(2012)Agent-Based task decomposing technique for web service compositionProceedings of the 8th international conference on Intelligent Computing Theories and Applications10.1007/978-3-642-31576-3_78(617-624)Online publication date: 25-Jul-2012
https://dl.acm.org/doi/10.1007/978-3-642-31576-3_78

Index Terms

Recursive multi-agent system for dynamic and adaptative web services composition
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Multi-agent systems
2. Information systems
  1. World Wide Web
    1. Web applications
    2. Web services

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Information & Contributors

Information

Published In

MEDES '09: Proceedings of the International Conference on Management of Emergent Digital EcoSystems

October 2009

525 pages

ISBN:9781605588292

DOI:10.1145/1643823

General Chair:
Nicolas Spyratos
Universite Paris-Sud, France
,
Program Chairs:
Epaminondas Kapetanios
University of Westminster, UK
,
Agma Traina
University of Sao Paulo, Brazil
,
Publications Chairs:
Richard Chbeir
Bourgogne University, France Youakim Badr, INSA de Lyon, France
,
Youakim Badr
INSA de Lyon, France

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2009

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MEDES '09

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MEDES '09: The International Conference on Management of Emergent Digital EcoSystems 2009

October 27 - 30, 2009

France

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Overall Acceptance Rate 267 of 682 submissions, 39%

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Cited By

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Rai GGangadharan GPadmanabhan VBuyya R(2018)Web Service Interaction Modeling and Verification Using Recursive Composition AlgebraIEEE Transactions on Services Computing10.1109/TSC.2018.2789454(1-1)Online publication date: 2018
https://doi.org/10.1109/TSC.2018.2789454
Lian WDuan HYan JLiang YZeng Q(2012)Agent-Based task decomposing technique for web service compositionProceedings of the 8th international conference on Intelligent Computing Theories and Applications10.1007/978-3-642-31576-3_78(617-624)Online publication date: 25-Jul-2012
https://dl.acm.org/doi/10.1007/978-3-642-31576-3_78

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A QoS-Based Web Services Selection Method for Dynamic Web Service Composition

Improved Algorithm for Dynamic Web Services Composition

Scalable and efficient web services composition based on a relational database