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System Multi Agents for Automatic Negotiation of SLA in Cloud Computing

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Innovations in Bio-Inspired Computing and Applications (IBICA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 735))

Abstract

Over the past few years, more and more researchers have been involved in research on both agent technology and cloud computing. Efforts have mainly been made to reduce the border between the two technologies. The combination of agents and cloud computing is based on the challenges faced by both communities and the need to develop more intelligent systems. The technology of agents whose goal is to deal with complex systems has revealed opportunities for improving the Cloud Computing Domain. This article present our contribution that is devoted to the integration of SMA in Cloud Computing. The role and functionality of each which constitute our system is detailed. We realized an SMA-based Cloud Computing system for the classification and the automatic negotiation of SLAs.

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Author information

Authors and Affiliations

  1. STRS Laboratory, National Institute of Posts and Telecommunications, 2, Avenue Allal El Fassi, Madinat Al Irfane, Rabat, Morocco

    Zineb Bakraouy, Amine Baina & Mostafa Bellafkih

Authors
  1. Zineb Bakraouy
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  2. Amine Baina
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  3. Mostafa Bellafkih
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Corresponding author

Correspondence to Zineb Bakraouy .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  4. Machine Intelligence Research Labs, Auburn, Washington, USA

    Niketa Gandhi

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Bakraouy, Z., Baina, A., Bellafkih, M. (2018). System Multi Agents for Automatic Negotiation of SLA in Cloud Computing. In: Abraham, A., Haqiq, A., Muda, A., Gandhi, N. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2017. Advances in Intelligent Systems and Computing, vol 735. Springer, Cham. https://doi.org/10.1007/978-3-319-76354-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-76354-5_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76353-8

  • Online ISBN: 978-3-319-76354-5

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