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摘要:
Server virtualization is an essential component in virtualized software infrastructure such as cloud computing. Virtual machines are generated through a software called virtual machine monitor (VMM) running on physical servers. The risks of software aging caused by aging-related bugs affect both VM and VMM. As a result, service reliability degrades may generate huge financial losses to companies. This paper presents an analytic model using stochastic reward nets for time-based rejuvenation techniques of VMM and VM. We propose to manipulate the VM behavior while the VMM rejuvenation is according to the load on the system. Using a previous Petri net model of virtualized server, we performed an algorithm in order to optimize rejuvenation technique and achieve high availability. So we perform Migrate-VM rejuvenation or Warm-VM rejuvenation while there are current jobs in the system. Although Migrate-VM rejuvenation is better than Warm-VM rejuvenation in steady state availability, it can’t be always performed as it depends on the capacity of the other host. When the queue is empty and the virtual machine has no current jobs to serve, we propose to combine both VMM rejuvenation and VM rejuvenation. We show that the proposed technique can enhance the availability of VMs.
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篇名 Optimised Migrate Virtual Machine Rejuvenation
来源期刊 电脑和通信(英文) 学科 工学
关键词 Component AVAILABILITY Data Center REJUVENATION VIRTUAL Machine PETRI Net
年,卷(期) dnhtxyw_2015,(8) 所属期刊栏目
研究方向 页码范围 33-40
页数 8页 分类号 TP3
字数 语种
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Component
AVAILABILITY
Data
Center
REJUVENATION
VIRTUAL
Machine
PETRI
Net
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研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
电脑和通信(英文)
月刊
2327-5219
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
783
总下载数(次)
0
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