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Availability Importance Measures for Virtualized System with Live Migration
Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan
Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan
Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan
- 1 Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan
- 2 Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan
- 3 Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan
Applied Mathematics·Volume 06 (2015)·Pages 359–372·Published 3 February 2015·DOI10.4236/am.2015.62034
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Abstract
This paper presents component importance analysis for virtualized system with live migration. The component importance analysis is significant to determine the system design of virtualized system from availability and cost points of view. This paper discusses the importance of components with respect to system availability. Specifically, we introduce two different component importance analyses for hybrid model (fault trees and continuous-time Markov chains) and continuous-time Markov chains, and show the analysis for existing probabilistic models for virtualized system. In numerical examples, we illustrate the quantitative component importance analysis for virtualized system with live migration.
KeywordsVirtualized SystemLive MigrationSystem AvailabilityComponent Importance AnalysisFault TreeContinuous-Time Markov Chain
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