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Toward Context-Aware SLA for Cloud Computing

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Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) (HIS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 552))

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Abstract

Service Level Agreements (SLA) represents the principal means to control the Quality of Service (QoS). In cloud computing, various advanced SLA strategies are used; some techniques among others try to avoid the SLA violations. Taking into account the cloud consumer contextual parameters is a promising way to predict and avoid costly SLA violations. Therefore, in this paper, we propose a context-aware system for the SLA in order to guarantee the QoS. We create a contextual ontology to introduce the semantic meaning of the cloud consumer contextual parameters. In addition, using reasoning techniques, we (1) predict SLA violations and we (2) choose and apply the corrective actions in autonomous manner. This allows getting a proactive adjustment of the cloud service execution and respecting the SLA parameters.

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Notes

  1. 1.

    http://www.w3.org/TR/owl-ref/.

  2. 2.

    http://www.w3.org/Submission/SWRL/.

  3. 3.

    http://protege.stanford.edu/.

  4. 4.

    http://www.jessrules.com.

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Author information

Authors and Affiliations

  1. Miracl Laboratory, National School of Electronic and Telecommunications, University of Sfax, Sfax, Tunisia

    Taher Labidi & Achraf Mtibaa

  2. Institut Mines-Telecom, Telecom SudParis, UMR CNRS Samovar, Evry, France

    Walid Gaaloul

  3. Miracl Laboratory, Higher Institute of Computing and Multimedia, University of Sfax, Sfax, Tunisia

    Faiez Gargouri

Authors
  1. Taher Labidi
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  2. Achraf Mtibaa
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  3. Walid Gaaloul
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  4. Faiez Gargouri
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Corresponding author

Correspondence to Taher Labidi .

Editor information

Editors and Affiliations

  1. (MIR Labs), Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. ENIS, University of Sfax, Sfax, Tunisia

    Adel M. Alimi

  4. Technopolis Rabat-Shore Rocade, International University of Rabat, Sala el Jadida, Morocco

    Ghita Mezzour

  5. Inst Applied Dept of Electronics, Taffala, University of Sousse, Sousse, Tunisia

    Nizar Rokbani

  6. Fakulti Teknologi Maklumat dan Komunikas, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

    Azah Kamilah Muda

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Labidi, T., Mtibaa, A., Gaaloul, W., Gargouri, F. (2017). Toward Context-Aware SLA for Cloud Computing. In: Abraham, A., Haqiq, A., Alimi, A., Mezzour, G., Rokbani, N., Muda, A. (eds) Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). HIS 2016. Advances in Intelligent Systems and Computing, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-319-52941-7_35

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  • DOI: https://doi.org/10.1007/978-3-319-52941-7_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52940-0

  • Online ISBN: 978-3-319-52941-7

  • eBook Packages: EngineeringEngineering (R0)

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