本文選題：容器技術(shù) + 云計(jì)算��； 參考：《現(xiàn)代電子技術(shù)》2017年22期

【摘要】：傳統(tǒng)基于Hypervisor模型的云計(jì)算資源調(diào)度方法存在長(zhǎng)時(shí)間得不到調(diào)度,調(diào)度性能低的問(wèn)題。針對(duì)該問(wèn)題,設(shè)計(jì)基于容器技術(shù)的云計(jì)算資源合理調(diào)度方法,設(shè)計(jì)了調(diào)度系統(tǒng)的架構(gòu)以及調(diào)度流程。詳細(xì)說(shuō)明了虛擬機(jī)遷移時(shí)間判斷流程以及被遷移虛擬機(jī)選擇流程。采用Migrate方法完成虛擬機(jī)的遷移,資源統(tǒng)計(jì)過(guò)程通過(guò)調(diào)用Libvirt的接口實(shí)現(xiàn)通信,并通過(guò)近似的方式運(yùn)算虛擬機(jī)CPU使用率,降低了云計(jì)算資源調(diào)度時(shí)的數(shù)據(jù)中心能耗。經(jīng)過(guò)測(cè)試表明,所提方法穩(wěn)定性高,總體性能優(yōu),達(dá)到了預(yù)期目標(biāo)。
[Abstract]:The traditional cloud computing resource scheduling method based on Hypervisor model has the problem of long time unscheduled and low scheduling performance. Aiming at this problem, the paper designs a reasonable scheduling method for cloud computing resources based on container technology, and designs the architecture and scheduling process of the scheduling system. The process of judging the migration time of virtual machine and the selection process of migrated virtual machine are described in detail. The migration of virtual machine is accomplished by Migrate method, the resource statistics process realizes communication by calling the interface of Libvirt, and the CPU usage rate of virtual machine is calculated by approximate way, which reduces the energy consumption of data center in resource scheduling of cloud computing. The test results show that the proposed method has high stability and good overall performance.
【作者單位】： 北華大學(xué)師范分院;
【基金】：中國(guó)教育學(xué)會(huì)科研規(guī)劃課題(0707398B)
【分類號(hào)】：TP3
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本文編號(hào)：1915832