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Linked Service Selection Using the Skyline Algorithm

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Book cover Model and Data Engineering (MEDI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9893))

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Abstract

Recently, resource oriented computing has changed the way Web applications are designed. Because of the increasing number of APIs, centralized repositories are no longer a viable option for discovery. As a consequence, a decentralized approach is needed in order to enable value-added applications. In this paper, we propose a client-side QoS-based selection algorithm that can be executed along the discovery stage. Our solution provides different alternatives based on the skyline approach to select resources and maintain acceptable time performance.

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Notes

  1. 1.

    Hypermedia As The Engine Of the Application State.

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Acknowledgment

We would like to thank Karim Benouaret for his fruitful discussions about the application of the skyline approach over the selection-on-the-fly setup.

Author information

Authors and Affiliations

  1. Université de Lyon, LIRIS, INSA-Lyon - CNRS UMR5205, 69621, Lyon, France

    Mahdi Bennara & Youssef Amghar

  2. Université de Lyon, LIRIS, Université Lyon 1 - CNRS UMR5205, 69622, Lyon, France

    Michael Mrissa

Authors
  1. Mahdi Bennara
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  2. Michael Mrissa
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  3. Youssef Amghar
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Corresponding author

Correspondence to Mahdi Bennara .

Editor information

Editors and Affiliations

  1. LIAS/ISAE-ENSMA , Futuroscope Chasseneuil, France

    Ladjel Bellatreche

  2. Department of Information Systems and Computation, Universitat Politècnica de València, Valencia, Spain

    Óscar Pastor

  3. University of Almería , Almería, Spain

    Jesús M. Almendros Jiménez

  4. IRIT / ENSEIHT , Toulouse, France

    Yamine Aït-Ameur

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Bennara, M., Mrissa, M., Amghar, Y. (2016). Linked Service Selection Using the Skyline Algorithm. In: Bellatreche, L., Pastor, Ó., Almendros Jiménez, J., Aït-Ameur, Y. (eds) Model and Data Engineering. MEDI 2016. Lecture Notes in Computer Science(), vol 9893. Springer, Cham. https://doi.org/10.1007/978-3-319-45547-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-45547-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45546-4

  • Online ISBN: 978-3-319-45547-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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