本文選題：云存儲 + 副本管理�。� 參考：《華中科技大學(xué)》2013年碩士論文

【摘要】：隨著信息技術(shù)的快速發(fā)展，數(shù)據(jù)規(guī)模呈指數(shù)級增長，為了存儲和管理海量數(shù)據(jù)，云存儲系統(tǒng)應(yīng)運(yùn)而生。云存儲系統(tǒng)將分布廣泛的存儲資源進(jìn)行有效的組織，以較為低廉的成本，向用戶提供大容量、高性能的存儲服務(wù)。副本技術(shù)是云存儲系統(tǒng)的重要組成部分，是云存儲系統(tǒng)實(shí)現(xiàn)可靠性、并發(fā)性和擴(kuò)展性的基礎(chǔ)。目前的副本管理策略研究中，對于單個用戶請求的響應(yīng)時間沒有引起足夠重視，造成許多請求長時間處于等待狀態(tài)，降低了系統(tǒng)的性能。 基于用戶請求響應(yīng)時間的副本管理策略以減少用戶請求的響應(yīng)時間為目標(biāo)，以云存儲網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)為基礎(chǔ)，在副本放置、副本選擇、動態(tài)副本創(chuàng)建和副本刪除等方面進(jìn)行了深入研究。副本放置過程中考慮響應(yīng)時間和節(jié)點(diǎn)的存儲能力，保證其他節(jié)點(diǎn)都能在規(guī)定時間內(nèi)訪問到該數(shù)據(jù)文件。副本選擇過程中綜合考慮副本節(jié)點(diǎn)的存儲能力以及副本節(jié)點(diǎn)與用戶節(jié)點(diǎn)的距離，選擇服務(wù)能力最強(qiáng)的副本節(jié)點(diǎn)響應(yīng)用戶請求。動態(tài)副本創(chuàng)建根據(jù)用戶訪問頻率，動態(tài)調(diào)整文件的掃描周期，對系統(tǒng)中的文件實(shí)行差異化管理；另外，根據(jù)用戶訪問頻率判斷系統(tǒng)中是否出現(xiàn)“熱點(diǎn)數(shù)據(jù)”，并為“熱點(diǎn)數(shù)據(jù)”創(chuàng)建新的副本。副本刪除以用戶訪問頻率為依據(jù)，在保證數(shù)據(jù)可靠性的前提下，刪除系統(tǒng)中長時間沒有用戶訪問的副本。 通過模擬器OptorSim進(jìn)行模擬實(shí)驗(yàn)，將基于用戶請求響應(yīng)時間的副本管理策略與OptorSim內(nèi)置的副本管理策略進(jìn)行比較，試驗(yàn)結(jié)果表明，基于用戶請求響應(yīng)時間的副本管理策略的平均響應(yīng)時間比OptorSim降低了32%，，網(wǎng)絡(luò)利用率比OptorSim降低了48%，系統(tǒng)中的副本總數(shù)減少了16%。
[Abstract]:With the rapid development of information technology, the scale of data increases exponentially. In order to store and manage mass data, cloud storage system emerges as the times require. Cloud storage system will be widely distributed storage resources for effective organization, at a relatively low cost, to provide users with large capacity, high performance storage services. Replica technology is an important part of cloud storage system, and it is the basis of reliability, concurrency and expansibility of cloud storage system. In the current replica management policy research, the response time for a single user's request is not paid enough attention to, resulting in a lot of requests waiting for a long time, which reduces the performance of the system. The replica management strategy based on user request response time aims to reduce the response time of user request, and based on the topology of cloud storage network, the replica is placed in the replica, and the replica is selected. Dynamic replica creation and replica deletion are studied in depth. The response time and the storage capacity of the nodes are considered in the process of replica placement to ensure that other nodes can access the data file within the specified time. In the process of replica selection, the storage capacity of replica node and the distance between replica node and user node are considered synthetically, and the replica node with the strongest service ability is selected to respond to user request. Dynamic replica is created according to the frequency of user access, dynamically adjusts the scanning period of files, and implements differential management of files in the system; in addition, according to the frequency of user access, it determines whether there are "hot data" in the system. And create a new copy of Hot data. The replica deletion is based on the frequency of user access. Under the premise of ensuring the reliability of the data, the replica which has not been accessed by the user for a long time in the system is deleted. The replica management strategy based on user request response time is compared with the replica management policy built in by OptorSim. The experimental results show that, The average response time of the replica management policy based on user request response time is 32 times lower than OptorSim, the network utilization ratio is lower than OptorSim by 48 percent, and the total number of replicas in the system is reduced by 16 percent.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP333

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