Model-driven dependability analysis of virtualization systems

Zhang, Xu ORCID: https://orcid.org/0000-0001-6557-6607, Lin, Chuang and Kong, Xiangzhen (2009) Model-driven dependability analysis of virtualization systems. In: Proceedings of the 2009 8th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009. Proceedings of the 2009 8th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009 . The Institute of Electrical and Electronics Engineers (IEEE), CHN, pp. 199-204. ISBN 9780769536415

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Abstract

After many years of silence, virtualization recently became a hot topic once again, especially in the field of system dependability. Current researches mostly focus on more technical methods without taking into account the problem of how to verify the dependability of these technics. This paper proposes a Markov model to describe virtualization systems and gives the solving methods to quantitatively analyze their dependabilities including reliability, availability and maintainability. Through the numeric results, we get the relationship between the specific dependability evaluating attributes of virtualization systems and the characteristics of virtualization systems' components. Then evolve some conditions which should be satisfied by the virtualization for enhancing system dependability, including the number of backup virtual machines, the failure and repair rate of hypervisor and so on.

Item Type:	Book Section
Uncontrolled Keywords:	computer science applications,software ,/dk/atira/pure/subjectarea/asjc/1700/1706
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	04 Mar 2024 16:26
Last Modified:	04 Mar 2024 16:26
URI:	https://ueaeprints.uea.ac.uk/id/eprint/94384
DOI:	10.1109/ICIS.2009.36

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