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A Fast Rejuvenation Technique for Server Consolidation with Virtual Machines

Authors: Kenichi Kourai; Shigeru Chiba;

A Fast Rejuvenation Technique for Server Consolidation with Virtual Machines

Abstract

As server consolidation using virtual machines (VMs) is carried out, software aging of virtual machine monitors (VMMs) is becoming critical. Performance degradation or crash failure of a VMM affects all VMs on it. To counteract such software aging, a proactive technique called software rejuvenation has been proposed. A typical example of rejuvenation is to reboot a VMM. However, simply rebooting a VMM is undesirable because that needs rebooting operating systems on all VMs. In this paper, we propose a new technique for fast rejuvenation of VMMs called the warm-VM reboot. The warm-VM reboot enables efficiently rebooting only a VMM by suspending and resuming VMs without accessing the memory images. To achieve this, we have developed two mechanisms: on-memory suspend/resume of VMs and quick reload of VMMs. The warm- VM reboot reduces the downtime and prevents the performance degradation due to cache misses after the reboot.

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Japan
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 10%
Top 10%
Top 10%
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