Machine Learning Based Statistical Prediction Model for Improving Performance of Live Virtual Machine Migration
نویسندگان
چکیده
منابع مشابه
Empirical Exploitation of Live Virtual Machine Migration
As virtualization continues to become increasingly popular in enterprise and organizational networks, operators and administrators are turning to live migration of virtual machines for the purpose of workload balancing and management. However, the security of live virtual machine migration has yet to be analyzed. This paper looks at this poorly explored area and attempts to empirically demonstr...
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The ability to migrate a virtual machine (VM) from one physical host to another is important in a number of cases such as power management, on-line maintenance, and load-balancing. The amount of memory used in VMs have been steadily increasing up to several gigabytes. Consequently, the time to migrate machines, the total migration time, has been increasing. The aim of this thesis is to reduce t...
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Live migration has been proposed to reduce the downtime for migrated VMs by pre-copying the generated run-time memory state files from the original host to the migration destination host. However, if the rate for such a dirty memory generation is high, it may take a long time to accomplish live migration because a large amount of data needs to be transferred. In extreme cases when dirty memory ...
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Virtualization technology is currently becoming increasingly popular and valuable in cloud computing environments due to the benefits of server consolidation, live migration, and resource isolation. Live virtual machine migration is the process of moving virtual machine from one physical host to other without disturbing the users. Effective migration of virtual machine requires the movement of ...
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ژورنال
عنوان ژورنال: Journal of Engineering
سال: 2016
ISSN: 2314-4904,2314-4912
DOI: 10.1155/2016/3061674