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Intelligent Business Process Based Cloud Services

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New Contributions in Information Systems and Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 354))

Abstract

Cloud computing is a model that provides services on demand. In the world of industry, the business processes are increasingly used in cloud platforms for the deployment and execution. Many companies construct their business processes using existing services, because the reuse of services increases reliability and it reduces productivity cost. With the increasing number of services that provide the same functionality, the discovery and selection of services have become the most urgent problem, which must be resolved. This paper presents a methodology for constructing business processes based on consumer needs, cloud services, intelligent system and by exploiting features of agents to discover a set of services that offer same functionality and have different quality of services.

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Author information

Authors and Affiliations

  1. LIRE Laboratory, University of Constantine 2, Constantine, Algeria

    Lacheheub Mohammed Nassim & Maamri Ramdane

Authors
  1. Lacheheub Mohammed Nassim
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  2. Maamri Ramdane
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Corresponding author

Correspondence to Lacheheub Mohammed Nassim .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Alvaro Rocha

  2. Instituto Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa Instituto Superior de Estatistica, Lisboa, Portugal

    Ana Maria Correia

  3. DEIS, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

  4. DIS, Universidade do Minho, Guimarães, Portugal

    Luis Paulo Reis

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© 2015 Springer International Publishing Switzerland

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Nassim, L.M., Ramdane, M. (2015). Intelligent Business Process Based Cloud Services. In: Rocha, A., Correia, A., Costanzo, S., Reis, L. (eds) New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-319-16528-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-16528-8_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16527-1

  • Online ISBN: 978-3-319-16528-8

  • eBook Packages: EngineeringEngineering (R0)

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