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Local Disaster Recovery Using Virtualization Technology

http://hdl.handle.net/20.500.12678/0000003535
092b4b42-8a80-4107-8f1f-6c74bcaf0542
8a0a722a-8482-4ae9-b6f6-cfb37caf66de
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psc2010paper psc2010paper (75).pdf (59 Kb)
Publication type
Article
Upload type
Publication
Title
Title Local Disaster Recovery Using Virtualization Technology
Language en
Publication date 2010-12-16
Authors
Paing, Aye Myat Myat
Description
Business applications running on ITinfrastructure necessitate high levels of availability inorder to minimize the amount of downtimeexperienced during any planned and unplannedoutages. As a result, disaster recovery has gainedgreat significance in IT. Exploiting virtualization andability to automatically reinstall a host, where theaction on a virtual machine is performed only when adisaster occurs. Virtualization affords significant costand performance advantages over more traditionaldisaster recovery options such as tape backup orimaging. Our approach is to design and implement acontinual migration strategy for virtual machines toachieve automatic failure recovery. By continuallyand transparently propagating virtual machine’s stateto a backup host via live migration techniques, trivialapplications encapsulated in the virtual machine canbe recovered from hardware failures with minimaldowntime while no modifications are required.Moreover, our framework intends to monitor virtualmachines for problems such as CPU utilization, I/Oactivity, and memory utilization. This raises adifficult problem, since it is quite difficult todiscriminate based on these measures between avirtual object that is performing properly, and onethat is quite ill. We apply the out-of-band monitoringusing virtualization and machine learning canaccurately identify faults in the guest OS, whileavoiding the many pitfalls associated with in-bandmonitoring.
Keywords
virtualization, availability, fault-tolerance, machine learning
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1276
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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