Estimating the Reliability of the Elements of Cloud Services

Ignatova, Iuliia V.; Biehun, Anatoliy V.

doi:10.5277/ord170305

Autor

Ignatova Iuliia V. (Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine), Biehun Anatoliy V. (Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine)

Tytuł

Estimating the Reliability of the Elements of Cloud Services

Źródło

Operations Research and Decisions, 2017, vol. 27, no. 3, s. 65-80, rys., tab., bibliogr. 22 poz.

Słowa kluczowe

Chmura obliczeniowa, Serwery, Awaryjność, Niezawodność, Technologia informacyjna
Cloud computing, Servers, Failure rate, Reliability, Information Technology (IT)

Uwagi

summ.

Abstrakt

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). (original abstract)

Dostępne w

Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu

Pełny tekst

Bibliografia

ALTMAN E., AVRACHENKOV K., BARAKAT C., A stochastic model of TCP/IP with stationary random losses, Proc. ACM SIGCOMM Computer Communication Review, 2000, 30 (4), 231-242.
BACCELLI F., HONG D., AIMD, fairness and fractal scaling of TCP traffic, Proc. IEEE INFOCOM, New York 2000, 1, 229-238.
BINI D., LATOUCHE G., MEINI B., Numerical Methods for Structured Markov Chains, Oxford University Press, New York 2005.
BRANDT A., BRANDT M., On the M(n)/M(n)/s queue with impatient calls, Perf. Eval., 1999, 35 (1-2), 1-18.
BRUNEEL H., KIM B., Discrete-Time Models for Communication Systems Including ATM, Kluwer Academic, Boston 1993.
BUCHHOLZ P., A class of hierarchical queueing networks and their analysis, Queuing Syst., 1994, 15 (1-4), 59-80.
BUCKLEW J., Large Deviation Techniques in Decision, Simulation and Estimation, Wiley, New York 1990.
BUNKE H., CAELLI T., Hidden Markov models. Applications in computer vision, World Scientific, Singapore 2001, 244.
BUZACOTT J., SHANTHIKUMAR J., Stochastic Models of Manufacturing Systems, Prentice-Hall, New Jersey 1993.
CHANG C., Performance Guarantees in Communication Networks, Springer-Verlag, London 2000.
CHEN H., YAO D., Fundamentals of Queueing Networks. Performance, Asymptotics and Optimization, Springer-Verlag, New York 2001.
GNEDENKO B., KOVALENKO I., Introduction to Queueing Theory, Birkhauser Boston, Inc., Cambridge 1968.
KLEINROCK L., Queueing Systems. Vol. 1. Computer Systems Modelling Fundamentals, 2nd Ed., Wiley, 2009, 576.
LE BOUDEC J., THIRAN P., Network Calculus.: A Theory of Deterministic Queueing Systems for the Internet, Springer-Verlag, Berlin 2001.
MARINESCU D., Cloud Computing: Cloud vulnerabilities, TechNet Magazine, July 2013. Available at: https://technet.microsoft.com/en-au/library/dn271884.aspx
RIORDAN J., Stochastic Service Systems, Wiley, New York 1962.
SMITH J., TAN B., Handbook of Stochastic Models and Analysis of Manufacturing System Operations, Springer-Verlag, New York 2013, 373.
SRIDHAR T., Cloud Computing - a primer. Part 1. Models and Technologies, Int. Protocol J., 2009, 12 (3). Available at: https://www.cisco.com/c/en/us/about/press/internet-protocol-journal/back-issues/table-contents-45/123-cloud1.html
SRIDHAR T., Cloud Computing - a primer. Part 2. Infrastructure and Implementation Topics, Int. Protocol J., 2009, 12 (3). Available at: ttps://www.cisco.com/c/en/us/about/press/internet-protocol-journal/back-issues/table-contents-46/124-cloud2.html
SRIKANT R., YING L., Communication Networks. An Optimization, Control and Stochastic Networks Perspective, Cambridge University Press, Cambridge 2013, 363.
Estimate capacity and performance for Web Content Management (SharePoint Server 2013), TechNet Magazine, December 2016. Available at: https://technet.microsoft.com/en-gb/library/gg398060.aspx
A language and environment for statistical computing, R Core Team R, R Foundation for Statistical Computing, Vienna 2015. Available at: https://www.R-project.org/

Cytowane przez

ISSN

2081-8858

Język

eng

URI / DOI

BazEkon - Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie

Meny główne