本文選題：云存儲　切入點：副本　出處：《計算機工程與科學》2017年09期 　論文類型：期刊論文

【摘要】：數(shù)據(jù)副本管理是云計算系統(tǒng)管理的重要組成部分,在云計算系統(tǒng)的海量數(shù)據(jù)處理過程中,針對目前已知的數(shù)據(jù)存放與資源調(diào)度算法存在考慮副本動態(tài)性和可靠性的不足,提出了一種動態(tài)的副本放置機制。該機制基于區(qū)域結構,考慮數(shù)據(jù)處理時其副本的數(shù)量和放置位置,以及副本的產(chǎn)生對于內(nèi)存和帶寬等系統(tǒng)資源的開銷:首先根據(jù)云存儲中的副本信息,對被訪問頻率高且訪問平均響應時間長的數(shù)據(jù)信息進行復制,并給出副本數(shù)量的計算方法;考慮縮小副本分布的節(jié)點選擇范圍,提出動態(tài)的副本放置算法——DRA,將一定范圍內(nèi)的節(jié)點根據(jù)提出的域的劃分,進行放置篩選,以存放數(shù)據(jù)副本。實驗結果表明,提出的動態(tài)放置機制不僅減少了低訪問率副本對系統(tǒng)存儲空間的浪費;同時也減少了高訪問率副本所需跨節(jié)點的傳輸延遲,有效提高了云存儲系統(tǒng)中的數(shù)據(jù)文件的訪問效率、負載的均衡水平,以及云存儲系統(tǒng)的可靠性和可用性。
[Abstract]:A copy of the data management is an important part of the management system of cloud computing, cloud computing in the massive data processing system, according to the known data storage and scheduling algorithm are considered insufficient copies of dynamic and reliability, proposed a dynamic replica placement mechanism. The mechanism is based on the regional structure, considering the data processing when the number of copies and location, and a copy of the memory bandwidth and the spending of system resources: Based on cloud storage in a copy of information, long data information of the accessed frequency is higher and the average response time to access the copy, copy number and calculation method are given; considering reducing the copy distribution of nodes the range of choices, propose a dynamic replica placement algorithm, DRA, will be within a certain range of nodes according to the division of the region, were placed on screening, to store a copy of the data . the experimental results show that the proposed dynamic placement mechanism not only reduces the rate of access to low copy system storage space; while reducing the transmission of high access rate copy required cross node delay, effectively improve the efficiency of accessing cloud storage system in the data file, the equilibrium level of negative load, and the reliability of cloud storage the system and availability.

【作者單位】： 東北大學信息科學與技術學院;
【基金】：國家自然科學基金(61374097)
【分類號】：TP333
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本文編號：1599529