NDLI: Rejuvenating High Available Virtualized Systems

Content Provider	IEEE Xplore Digital Library
Author	Rezaei, A. Sharifi, M.
Copyright Year	2010
Abstract	Virtualization technology in the form of server consolidation makes running of hot-standby replicas on one system possible, while software rejuvenation provides proactive recovery of failure. Both technologies have been used to make systems more dependable. However, the deployment of rejuvenation in virtualized systems had been limited only to virtual machines (VMs) or only to virtual machine monitors (VMMs), requiring changes to applications too. We propose a new rejuvenation technique for high available virtualized systems that is applied at both VM and VMM levels and yet it does not require any modifications to applications. Our proposition leverages the encapsulation of an application into a VM using this new combinatory rejuvenation technique that uses a time-based policy for VMM and a prediction-based policy for VMs. To demonstrate how much it can improve system availability, the stochastic reward net-based models of a typical virtualized consolidated server in cases of using a prediction-based policy, using a time-based policy, and using the proposed rejuvenation technique are presented and compared. We show that our method has higher system availability and lower downtime cost.
Starting Page	289
Ending Page	294
File Size	329939
Page Count	6
File Format	PDF
ISBN	9781424458790
e-ISBN	9781424458806
DOI	10.1109/ARES.2010.69
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-02-15
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Encapsulation Rejuvenation Predictive models Virtual machining Application software Combinatory Rejuvenation Policy Application virtualization Voice mail Virtual machine monitors Performance Modeling Stochastic systems Software systems Virtual manufacturing Virtualization Technology
Content Type	Text
Resource Type	Article

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