e-Infrastructure and e-Services for Developing Countries. 8th International Conference, AFRICOMM 2016, Ouagadougou, Burkina Faso, December 6-7, 2016, Proceedings

Research Article

Proposals of Architecture for Adapting Cloud Computing Services to User’s Context

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  • @INPROCEEDINGS{10.1007/978-3-319-66742-3_10,
        author={Kanga Koffi and Babri Michel and Goore Tra and Brou Marcelin},
        title={Proposals of Architecture for Adapting Cloud Computing Services to User’s Context},
        proceedings={e-Infrastructure and e-Services for Developing Countries. 8th International Conference, AFRICOMM 2016, Ouagadougou, Burkina Faso, December 6-7, 2016, Proceedings},
        proceedings_a={AFRICOMM},
        year={2017},
        month={10},
        keywords={Cloud computing CloudAdapt Cloud architecture Adaptation of services Context awareness Cloud computing simulator},
        doi={10.1007/978-3-319-66742-3_10}
    }
    
  • Kanga Koffi
    Babri Michel
    Goore Tra
    Brou Marcelin
    Year: 2017
    Proposals of Architecture for Adapting Cloud Computing Services to User’s Context
    AFRICOMM
    Springer
    DOI: 10.1007/978-3-319-66742-3_10
Kanga Koffi1,*, Babri Michel1,*, Goore Tra1,*, Brou Marcelin1,*
  • 1: UMRI 78: Electronique et Electricité Appliquée Laboratoire de Recherche en Informatique et Télécommunication
*Contact email: koffi.kanga@larit.net, michel.babri@inphb.edu.ci, goore@inphb.edu.ci, kmbrou@inphb.edu.ci

Abstract

In cloud computing service providers offer services to be used by customers. Given the increasing number of clients and also the variety of their needs, some users adjust services to their context. Also context may differ from those services. For this, we propose in this paper a set of tools (architecture and algorithm) for achieving this adaptation taking into account the specificities related to the context of the user. This set, knowing the services offered by suppliers, enables the user to make an adjustment using methods to construct the user context and the research service related to this context. The result obtained after the different tests carried out shows that our tool could be a better simulation environment of research and selection service adaption like in other environments.