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Estimating the reliability of the elements of cloud services

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  • Iuliia Ignatova

  • Anatoliy Biehun

Abstract

Cloud technologies are a very considerable area that influence IT infrastructure, network services and applications. Research has highlighted difficulties in the functioning of cloud infrastructure. For instance, if a server is subjected to malicious attacks or a force majeure causes a failure in the cloud’s service, it is required to determine the time that it takes the system to return to being fully functional after the crash. This will determine the technological and financial risks faced by the owner and end users of cloud services. Therefore, to solve the problem of determining the expected time before service is resumed after a failure, we propose to apply Markovian queuing systems, specifically a model of a multi-channel queuing system with Poisson input flow and denial-of-service (breakdown).

Suggested Citation

  • Iuliia Ignatova & Anatoliy Biehun, 2017. "Estimating the reliability of the elements of cloud services," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(3), pages 65-80.
    • Handle: RePEc:wut:journl:v:3:y:2017:p:65-80:id:1296
    DOI: 10.5277/ord170305
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    References listed on IDEAS

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    1. Ejis, 2009. "Table of Contents," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
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    Cited by:

    1. Pawel Kobis, 2021. "Human factor aspects in information security management in the traditional IT and cloud computing models," Operations Research and Decisions, Wroclaw University of Science Technology, Faculty of Management, vol. 31, pages 61-76.
    2. Paweł Kobis, 2021. "Human factor aspects in information security management in the traditional IT and cloud computing models," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 61-76.

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