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Towards Multi-level Trust-Driven Data Integration in Multi-cloud Environments

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12019))

Abstract

The service composition process in multi-cloud environments is emerging as a promising approach to integrate data made available through different sources w.r.t user’s requirements and quality conditions. In this approach, individual cloud services with different offers and quality aspects are federated into composite data-provisioning cloud services with few fine control about the conditions in which they are implemented and provided. In this work, we aim to guide the data integration process in multi-cloud by adding a trust dimension as quality warranty taking into account user’s preferences and Service Level Agreement. Accordingly, our contribution consists in defining a data integration trust-aware workflow in multi-cloud by computing trust scores of all entities implied in the integration process.

This work has been done in the context of the project SUMMIT (http://summit.imag.fr) funded by the Auvergne Rhone Alpes region.

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Correspondence to Senda Romdhani .

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Romdhani, S. (2020). Towards Multi-level Trust-Driven Data Integration in Multi-cloud Environments. In: Yangui, S., et al. Service-Oriented Computing – ICSOC 2019 Workshops. ICSOC 2019. Lecture Notes in Computer Science(), vol 12019. Springer, Cham. https://doi.org/10.1007/978-3-030-45989-5_20

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  • DOI: https://doi.org/10.1007/978-3-030-45989-5_20

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  • Print ISBN: 978-3-030-45988-8

  • Online ISBN: 978-3-030-45989-5

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