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Challenges Emerging from Future Cloud Application Scenarios


  • Keith Jeferry

    () (1euroCRIS)

  • George Kousiouris

    (National Technical University of Athens)

  • Dimosthenis Kyriazis

    (National Technical University of Athens)

  • Jörn Altmann

    () (College of Engineering, Seoul National University)

  • Augusto Ciuffoletti

    (Department of Computer Science, University of Pisa)

  • Ilias Maglogiannis

    (Department of Digital Systems, University of Piraeus)

  • Paolo Nesi

    (Department of Information Engineering, University of Florence)

  • Bojan Suzic

    (Institute for Applied Information Processing and Communications)

  • Zhiming Zhao

    (University of Amsterdam)


The cloud computing paradigm encompasses several key differentiating elements and technologies, tackling a number of inefficiencies, limitations and problems that have been identified in the distributed and virtualized computing domain. Nonetheless, and as it is the case for all emerging technologies, their adoption led to the presentation of new challenges and new complexities. In this paper we present key application areas and capabilities of future scenarios, which are not tackled by current advancements and highlight specific requirements and goals for advancements in the cloud computing domain. We discuss these requirements and goals across different focus areas of cloud computing, ranging from cloud service and application integration, development environments and abstractions, to interoperability and relevant to it aspects such as legislation. The future application areas and their requirements are also mapped to the aforementioned areas in order to highlight their dependencies and potential for moving cloud technologies forward and contributing towards their wider adoption.

Suggested Citation

  • Keith Jeferry & George Kousiouris & Dimosthenis Kyriazis & Jörn Altmann & Augusto Ciuffoletti & Ilias Maglogiannis & Paolo Nesi & Bojan Suzic & Zhiming Zhao, 2015. "Challenges Emerging from Future Cloud Application Scenarios," TEMEP Discussion Papers 2015126, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2015.
  • Handle: RePEc:snv:dp2009:2015126

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    Cited by:

    1. Azamat Uzbekov & Jörn Altmann, 2016. "Enabling Business-Preference-Based Scheduling of Cloud Computing Resources," TEMEP Discussion Papers 2016134, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Apr 2017.

    More about this item


    Cloud Computing; Future Application Scenarios; Challenges; Complete Computing.;

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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