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Multi-level Orchestration of Cloud Services in OrCS

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 13))

Abstract

Orchestration is a well known topic in old web services literature. Anyway, what Orchestration means for Cloud services is not yet Clear. Services, especially at lower layers of Cloud Architecture, are complex: Scientific literature has focused on the problem of dealing with proper, efficient and even optimal allocation of Resources when deploying and delivering Cloud services. Hence, management of Resources is what is commonly addressed as Orchestration in the Cloud. Anyway, the increasing complexity of Cloud Architecture and the introduction of new paradigms like Internet of Things, introduced the problem of creating Value Added Services by composition, not only of Resources, but of Services too. In this work we describe an architectural solution for Orchestration at all Cloud Layers. The framework we propose (Orchestrator for Complex Services: OrCS) manages composition of services and resources in order to create composite service based on Cloud Design Patterns. It is based on a Workflow language for description of composition and it enables verification of composite services by means of Model Driven Engineering techniques, providing a precious and easy-to-use tool for Cloud Engineering.

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Notes

  1. 1.

    https://cloudpatterns.org, http://en.clouddesignpattern.org/index.php/Main_Page.

  2. 2.

    http://www.wfmc.org/.

  3. 3.

    http://advertising.weather.com/big-data-weather-data-enhanced-business-strategy/.

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Author information

Authors and Affiliations

  1. DIETI, University of Naples “Federico II”, Naples, Italy

    Flora Amato

  2. DiSciPol, University of Campania “Luigi Vanvitelli”, Caserta, Italy

    Francesco Moscato

  3. Department of Computer Science, Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

Authors
  1. Flora Amato
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  2. Francesco Moscato
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  3. Fatos Xhafa
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Corresponding author

Correspondence to Flora Amato .

Editor information

Editors and Affiliations

  1. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  2. Open University of Catalonia, Barcelona, Spain

    Santi Caballé

  3. Fukuoka Institute of Technology (FIT), Fukuoka, Japan

    Leonard Barolli

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Amato, F., Moscato, F., Xhafa, F. (2018). Multi-level Orchestration of Cloud Services in OrCS. In: Xhafa, F., Caballé, S., Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-69835-9_34

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  • DOI: https://doi.org/10.1007/978-3-319-69835-9_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69834-2

  • Online ISBN: 978-3-319-69835-9

  • eBook Packages: EngineeringEngineering (R0)

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