Estimating the reliability of the elements of cloud services

Iuliia Ignatova () and Anatoliy Biehun ()

Operations Research and Decisions, 2017, vol. 27, issue 3, 65-80

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).

Keywords: cloud technologies; performance evaluation; Markovian queuing systems; Poisson input flow (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:wut:journl:v:3:y:2017:p:65-80:id:1296

DOI: 10.5277/ord170305

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