基于粒子群算法的云計(jì)算資源配置研究
發(fā)布時(shí)間:2019-05-18 04:41
【摘要】:對(duì)于云計(jì)算而言,虛擬機(jī)資源的合理高效配置具有重要意義.該文對(duì)粒子群方法進(jìn)行到云計(jì)算資源配置的映射,詳細(xì)地設(shè)計(jì)了3個(gè)約束條件和目標(biāo)函數(shù).目標(biāo)函數(shù)中包含了資源利用率和遷移次數(shù)2個(gè)優(yōu)化目標(biāo),整個(gè)虛擬機(jī)資源的配置過(guò)程設(shè)置了8個(gè)步驟.實(shí)驗(yàn)結(jié)果表明:同2種參照方法相比,該文所提出的基于粒子群算法的云資源配置方法完成配置后,不僅資源利用率高、遷移次數(shù)低,其迭代過(guò)程和迭代時(shí)間也令人滿意.
[Abstract]:For cloud computing, the reasonable and efficient allocation of virtual machine resources is of great significance. In this paper, the particle swarm optimization method is mapped to cloud computing resource configuration, and three constraints and objective functions are designed in detail. The objective function contains two optimization objectives: resource utilization and migration times, and eight steps are set up in the configuration process of virtual machine resources. The experimental results show that compared with the two reference methods, the proposed cloud resource allocation method based on particle swarm optimization algorithm not only has high resource utilization and low migration times, but also has satisfactory iterative process and iterative time.
【作者單位】: 廣州番禺職業(yè)技術(shù)學(xué)院財(cái)經(jīng)學(xué)院;
【基金】:廣州番禺職業(yè)技術(shù)學(xué)院“十三五”科技項(xiàng)目(2016KJ007);廣州番禺職業(yè)技術(shù)學(xué)院“十二五”第二批科技項(xiàng)目(2015KJ003)
【分類號(hào)】:TP18;TP3
本文編號(hào):2479679
[Abstract]:For cloud computing, the reasonable and efficient allocation of virtual machine resources is of great significance. In this paper, the particle swarm optimization method is mapped to cloud computing resource configuration, and three constraints and objective functions are designed in detail. The objective function contains two optimization objectives: resource utilization and migration times, and eight steps are set up in the configuration process of virtual machine resources. The experimental results show that compared with the two reference methods, the proposed cloud resource allocation method based on particle swarm optimization algorithm not only has high resource utilization and low migration times, but also has satisfactory iterative process and iterative time.
【作者單位】: 廣州番禺職業(yè)技術(shù)學(xué)院財(cái)經(jīng)學(xué)院;
【基金】:廣州番禺職業(yè)技術(shù)學(xué)院“十三五”科技項(xiàng)目(2016KJ007);廣州番禺職業(yè)技術(shù)學(xué)院“十二五”第二批科技項(xiàng)目(2015KJ003)
【分類號(hào)】:TP18;TP3
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