In decision making when comparing alternatives, it is often necessary to work with different values and scores. Binary relations and graph theory proved to be efficient when conducting this type of analysis. Cloud computing services, like any other technical means, are exposed to vulnerability and prone to breakdowns. This article proposes a model for determining the vulnerability level of cloud computing sections based on the ELECTRE I method. This model allows identifying sections that are most at risk of breakdown or failure, as well as removing dominant alternatives that do not constitute a grave danger to the system. Based on identified preferences, it is possible to decide on discrepancies rectification in the selected sections of the cloud computing services.


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    Titel :

    Model for Determining the Cloud Computing Services Vulnerability Level


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Radionov, Andrey A. (Herausgeber:in) / Gasiyarov, Vadim R. (Herausgeber:in) / Razumnikov, S. V. (Autor:in)

    Kongress:

    International Russian Automation Conference ; 2022 ; Sochi, Russia September 04, 2022 - September 10, 2022



    Erscheinungsdatum :

    20.01.2023


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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