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Cloud Computing Solution for Investment Efficiency Measurement in Biomedicine

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (ruSMART 2017, NsCC 2017, NEW2AN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10531))

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Abstract

Cloud computing is being widely adopted in various scientific areas, solutions and applications not including the biomedical research. This scientific area is characterized by the need of large amounts of data processing and these requirements are ensured by the cloud computing solutions. Cloud computing might bring many benefits, such as cost savings, elasticity and scalability of using ICT. On the other hand, the implementation might be inefficient and cost intensive. The measurement of cloud computing benefits and its efficiency is considered to be one of the crucial point for successful implementation of new systems or applications. The goal of this paper is to present specialized application for cloud computing investment efficiency with a respect to specificities of biomedical research area.

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Acknowledgements

We would like to thank to Pavel Pscheidl, doctoral student who was helping with the application programming. This work and the contribution were also supported by project of specific science, Faculty of informatics and Management, University of Hradec Kralove, Czech Republic.

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Authors and Affiliations

  1. Faculty of Informatics and Management, University of Hradec Kralove, Rokitanskeho 62, 50003, Hradec Králové, Czech Republic

    Petra Maresova & Vladimir Sobeslav

Authors
  1. Petra Maresova
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  2. Vladimir Sobeslav
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Corresponding author

Correspondence to Vladimir Sobeslav .

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Editors and Affiliations

  1. Electronics and Communication Engineering, Tampere University of Technology, Tampere, Finland

    Olga Galinina

  2. Electronics and Communication Engineering, Tampere University of Technology, Tampere, Finland

    Sergey Andreev

  3. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  4. Tampere University of Technology, Tampere, Finland

    Yevgeni Koucheryavy

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Maresova, P., Sobeslav, V. (2017). Cloud Computing Solution for Investment Efficiency Measurement in Biomedicine. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NsCC NEW2AN 2017 2017 2017. Lecture Notes in Computer Science(), vol 10531. Springer, Cham. https://doi.org/10.1007/978-3-319-67380-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-67380-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67379-0

  • Online ISBN: 978-3-319-67380-6

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