Applied Mathematics

Volume 6, Issue 2 (February 2015)

ISSN Print: 2152-7385   ISSN Online: 2152-7393

Google-based Impact Factor: 0.58  Citations  

Availability Importance Measures for Virtualized System with Live Migration

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DOI: 10.4236/am.2015.62034    3,512 Downloads   4,390 Views  Citations

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.

Share and Cite:

Zheng, J. , Okamura, H. and Dohi, T. (2015) Availability Importance Measures for Virtualized System with Live Migration. Applied Mathematics, 6, 359-372. doi: 10.4236/am.2015.62034.

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[3] Component Importance Analysis of Mobile Cloud Computing System in the Presence of Common-Cause Failures
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[4] Reliability importance of components in a realtime computing system with standby redundancy schemes
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[5] A Heuristic Time Sharing Policy for Backup Resources in Cloud System
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[6] A Heuristic Time Sharing Policy for Backup Resources in Cloud System.
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[7] Component Importance Measures for Real-Time Computing Systems in the Presence of Common-Cause Failures
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