本文選題：云計(jì)算 + 分布式文件系統(tǒng)��； 參考：《計(jì)算機(jī)應(yīng)用》2015年02期

【摘要】：針對(duì)分布式文件系統(tǒng)中由于數(shù)據(jù)塊隨機(jī)放置而導(dǎo)致的服務(wù)器利用率低、能耗管理復(fù)雜的問(wèn)題,建立了數(shù)據(jù)塊訪問(wèn)特征向量模型描述用戶對(duì)數(shù)據(jù)塊的隨機(jī)訪問(wèn),運(yùn)用K-means算法對(duì)數(shù)據(jù)塊進(jìn)行聚類計(jì)算,根據(jù)計(jì)算結(jié)果將數(shù)據(jù)節(jié)點(diǎn)劃分為多個(gè)區(qū)域以存儲(chǔ)不同聚類簇的數(shù)據(jù)塊,在系統(tǒng)負(fù)載較低時(shí)進(jìn)行數(shù)據(jù)塊動(dòng)態(tài)重配置,關(guān)閉不必要節(jié)點(diǎn)達(dá)到節(jié)能的目的。為使得策略適用于對(duì)能耗和資源利用率有不同要求的場(chǎng)景,算法中聚類簇間隔參數(shù)可靈活設(shè)置。實(shí)驗(yàn)通過(guò)和冷熱區(qū)劃分算法進(jìn)行比較表明:按照聚類結(jié)果進(jìn)行數(shù)據(jù)塊重配置后,能耗節(jié)省效率優(yōu)于冷熱區(qū)劃分算法,節(jié)省能耗35%~38%。
[Abstract]:The low utilization rate for the distributed file system by data blocks randomly placed in the server, the management of energy consumption complex problems, establish a data block access feature vector model to describe the random access to user data blocks, K-means clustering algorithm is used to calculate the data block according to the calculation results, the data node is divided into a plurality of areas to a block of data stored in different clusters, the data block dynamic reconfiguration in the system load is low, turn off unnecessary nodes to achieve the purpose of saving energy. In order to make the strategies applicable to the use of resources and energy consumption rate have different requirements of the scene, algorithm of cluster interval parameters can be set flexibly. Compared by experiment and hot and cold division algorithm: data block reconfiguration according to the clustering results, energy saving efficiency is better than that of hot and cold region partition algorithm, energy saving 35%~38%.

【作者單位】： 新疆大學(xué)信息科學(xué)與工程學(xué)院;新疆大學(xué)軟件學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(61462079,61262088,61363083) 新疆維吾爾族自治區(qū)自然科學(xué)基金資助項(xiàng)目(2013211A011)
【分類號(hào)】：TP333

【參考文獻(xiàn)】

相關(guān)期刊論文 前3條

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本文編號(hào)：1734005