DocumentCode :
1806601
Title :
Virtual machine scheduling, motion and disaster recovery model for IaaS cloud computing platform
Author :
Aobing Sun ; Tongkai Ji ; Qiang Yue ; Song Yang
Author_Institution :
Guangdong Electronic Industrial Institute, Dongguan, 523808, China
fYear :
2013
fDate :
1-8 Jan. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Virtualization Technology is the most important base for IaaS (Infrastructure as a Service) cloud computing platform. VM (Virtual Machine) Motion is the main means for IaaS platform to realize resource reallocation, disaster recovery, load balance and etc. Virtual machine motion can help cloud computing platform to release resources, optimize the resources usage, increase the VM capacity, so as to increase the QoS(Quality of Service) of whole platform. In this paper, we present our virtual machine backup, motion and disaster recovery model for IaaS cloud computing platform aiming at the optimization for platform usage. Based on the runtime and average usage of three layers of one IaaS system including the platform, host and VM, and to meet the need of motion on demand and motion for error, we combine the VM backup, disaster recovery and VM motion together, and give out the VM selection and motion algorithm in order to guarantee the QoS of whole platform and maximum the resource usage.
Keywords :
Bismuth; Computational modeling; Load modeling; Quality of service; Sun; Cloud Computing; Disaster Recovery; IaaS; Virtual Machine Backup;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
Type :
conf
DOI :
10.1109/ANTHOLOGY.2013.6785011
Filename :
6785011
Link To Document :
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