【摘要】：目前，我國傳統(tǒng)農(nóng)業(yè)正在向現(xiàn)代化農(nóng)業(yè)、數(shù)字化農(nóng)業(yè)和信息化農(nóng)業(yè)轉(zhuǎn)變�！�2006—2020國家信息化發(fā)展戰(zhàn)略》指出：“重點建設(shè)農(nóng)村重要信息系統(tǒng)，增強(qiáng)信息資源共享服務(wù)能力。”隨著我國農(nóng)業(yè)信息化建設(shè)的不斷深入，全國各個地區(qū)紛紛建立起自己網(wǎng)站和農(nóng)業(yè)信息服務(wù)站。各類農(nóng)業(yè)數(shù)據(jù)資源呈現(xiàn)爆炸式增長，并且具有多元化、異構(gòu)化的特點。目前，我們可以通過購置高端的昂貴的存儲器和服務(wù)器來管理這些數(shù)據(jù)；然而，將來會出現(xiàn)沒有一臺單獨的設(shè)備能夠存儲這么多數(shù)據(jù)的局面。另外，由于農(nóng)業(yè)數(shù)據(jù)涉及領(lǐng)域較多，區(qū)域性強(qiáng)、季節(jié)性強(qiáng)，我國農(nóng)業(yè)信息資源分布在不同區(qū)域的PC機(jī)、服務(wù)器和數(shù)據(jù)存儲設(shè)備上，各個地區(qū)之間缺少聯(lián)系，使得各種農(nóng)業(yè)信息資源獨立存在，形成一個個的“信息孤島”，共享性較差。如何解決農(nóng)業(yè)信息化過程中農(nóng)業(yè)數(shù)據(jù)存儲的瓶頸問題，是當(dāng)前農(nóng)業(yè)信息化過程中要研究的主要內(nèi)容。 論文闡述了研究農(nóng)業(yè)數(shù)據(jù)云存儲的目的和意義，并對國內(nèi)外云存儲在農(nóng)業(yè)方面的應(yīng)用做了總結(jié)。然后比較了幾種文件系統(tǒng)的特點，最終確定借鑒HDFS文件系統(tǒng)設(shè)計了分布式文件系統(tǒng)。分布式文件系統(tǒng)主要采用了文件備份、負(fù)載均衡和并發(fā)控制這三種技術(shù)。通過研究如何對文件復(fù)制形成多個副本，并存儲在不同的設(shè)備上，實現(xiàn)了數(shù)據(jù)的冗余，使得系統(tǒng)更加安全可靠，避免了因為某臺機(jī)器的故障造成文件無法訪問的現(xiàn)象，并為負(fù)載均衡提供實現(xiàn)基礎(chǔ)；通過研究對用戶上傳下載文件有效均衡的管理，使文件在各個節(jié)點上的存儲較為均衡，實現(xiàn)用戶對文件的訪問有效地分流到不同的節(jié)點上，從而提高了系統(tǒng)性能；通過研究文件傳輸?shù)牟l(fā)性和遠(yuǎn)程調(diào)用的并發(fā)性，實現(xiàn)了云存儲系統(tǒng)的并發(fā)控制。在此基礎(chǔ)上，基于分布式文件系統(tǒng)，設(shè)計并研發(fā)了農(nóng)業(yè)數(shù)據(jù)的云存儲系統(tǒng)。系統(tǒng)用Java來開發(fā)，，用Oracle數(shù)據(jù)庫來存儲數(shù)據(jù)，通過調(diào)用分布式文件系統(tǒng)提供的接口，實現(xiàn)了農(nóng)業(yè)文件數(shù)據(jù)操作的各個功能和對系統(tǒng)的管理功能，實現(xiàn)了農(nóng)業(yè)文件數(shù)據(jù)資源按照統(tǒng)一標(biāo)準(zhǔn)的存儲和檢索，解決了大量農(nóng)業(yè)文件數(shù)據(jù)資源分散和共享性差的問題。在技術(shù)上，本文將云存儲技術(shù)用到農(nóng)業(yè)數(shù)據(jù)管理上，是較為新穎的。
[Abstract]:At present, the traditional agriculture of our country is changing to modern agriculture, digital agriculture and information agriculture. The National Informatization Development Strategy 2006-2020 points out: "it is important to construct the important information system in rural areas and to enhance the ability of information resources sharing and service." With the development of agricultural information construction in China, all regions have established their own websites and agricultural information service stations. All kinds of agricultural data resources show explosive growth, and have the characteristics of diversification and isomerization. At present, we can manage this data by purchasing high-end and expensive storage and servers; however, no single device will be able to store so much data in the future. In addition, agricultural information resources are distributed on PC machines, servers and data storage devices in different regions because of the large number of agricultural data, strong regional and seasonal, and lack of connection between different regions. All kinds of agricultural information resources exist independently, forming one by one "information isolated islands", the sharing is poor. How to solve the bottleneck problem of agricultural data storage in the process of agricultural informatization is the main content to be studied in the process of agricultural informatization. The purpose and significance of research on cloud storage of agricultural data are expounded, and the application of cloud storage in agriculture at home and abroad is summarized. Then the characteristics of several file systems are compared and the distributed file system is designed based on the HDFS file system. The distributed file system mainly adopts three technologies: file backup, load balance and concurrency control. By studying how to make multiple copies of files and store them on different devices, the redundancy of data is realized, which makes the system more secure and reliable, and avoids the phenomenon that the files cannot be accessed because of the failure of a machine. And provides the realization foundation for the load balancing; By studying the effective and balanced management of users uploading and downloading files, the storage of files on each node is more balanced, and users' access to files is effectively diverted to different nodes, thus improving the performance of the system. By studying the concurrency of file transfer and remote call, the concurrency control of cloud storage system is realized. Based on the distributed file system, a cloud storage system for agricultural data is designed and developed. The system is developed by Java and stored by Oracle database. By calling the interface provided by the distributed file system, the functions of agricultural file data operation and the management function of the system are realized. The storage and retrieval of agricultural file data resources according to unified standards are realized, and the problems of dispersion and poor sharing of a large number of agricultural file data resources are solved. Technically, this paper applies cloud storage technology to agricultural data management, which is relatively novel.
【學(xué)位授予單位】：山東農(nóng)業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP333

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李光達(dá);鄭懷國;譚翠萍;邱琳;趙靜娟;;基于云計算的農(nóng)業(yè)信息服務(wù)研究[J];安徽農(nóng)業(yè)科學(xué);2011年27期

2 拓守恒;;云計算與云數(shù)據(jù)存儲技術(shù)研究[J];電腦開發(fā)與應(yīng)用;2010年09期

3 蔡鍵;王樹梅;;基于Google的云計算實例分析[J];電腦知識與技術(shù);2009年25期

4 周軼男;王宇;;Hadoop文件系統(tǒng)性能分析[J];電子技術(shù);2011年05期

5 曹麗英;張曉賢;趙月玲;陳桂芬;;云計算在農(nóng)業(yè)信息資源整合模式中的應(yīng)用[J];中國農(nóng)機(jī)化;2012年03期

6 史強(qiáng);;GFS云存儲技術(shù)可靠性簡介[J];福建電腦;2012年01期

7 王鑫;王占江;;淺談分布式數(shù)據(jù)庫架構(gòu)[J];計算機(jī)光盤軟件與應(yīng)用;2012年08期

8 楊德志,黃華,張建剛,許魯;大容量、高性能、高擴(kuò)展能力的藍(lán)鯨分布式文件系統(tǒng)[J];計算機(jī)研究與發(fā)展;2005年06期

9 黃華,張建剛,許魯;藍(lán)鯨分布式文件系統(tǒng)的分布式分層資源管理模型[J];計算機(jī)研究與發(fā)展;2005年06期

10 郭東;杜勇;胡亮;;基于HDFS的云數(shù)據(jù)備份系統(tǒng)[J];吉林大學(xué)學(xué)報(理學(xué)版);2012年01期

本文編號：2348907