發(fā)布時間：2018-03-16 06:23

  本文選題：云GIS　切入點(diǎn)：地理信息元數(shù)據(jù)　出處：《中國地質(zhì)大學(xué)（北京）》2013年碩士論文　論文類型：學(xué)位論文

【摘要】：目前人類已經(jīng)步入了云計算時代。依賴計算機(jī)技術(shù)的相關(guān)學(xué)科，比如地理信息系統(tǒng)，也從中受益。人們更多的將地理信息系統(tǒng)視為計算機(jī)技術(shù)和網(wǎng)絡(luò)技術(shù)應(yīng)用的一個子集。應(yīng)用云計算和存儲技術(shù)的地理信息系統(tǒng)正在不斷涌現(xiàn)。 與此同時，隨著空間數(shù)據(jù)獲取技術(shù)和方法的進(jìn)步，空間數(shù)據(jù)生產(chǎn)者獲得了比以往任何時候數(shù)量更加龐大的高質(zhì)量和高精度空間數(shù)據(jù)，加上空間數(shù)據(jù)生產(chǎn)者原有的空間數(shù)據(jù)，這個數(shù)據(jù)總量是巨大的并且仍在繼續(xù)增加。這就對如何有效的存儲、管理和共享海量空間數(shù)據(jù)提出了需求并且能夠充分利用現(xiàn)有硬件設(shè)備節(jié)省費(fèi)用。 作為針對大數(shù)據(jù)處理而產(chǎn)生云計算和存儲技術(shù)可以有效幫助地理信息系統(tǒng)解決海量空間數(shù)據(jù)存儲、管理和共享的問題。利用云計算和存儲技術(shù)結(jié)合空間數(shù)據(jù)自身特點(diǎn)對云計算系統(tǒng)加以改造使其滿足空間數(shù)據(jù)生產(chǎn)者和用戶對空間數(shù)據(jù)存儲管理和有效利用的需求。 本論文通過對云計算和存儲技術(shù)的研究，闡述了其概念、關(guān)鍵技術(shù)等內(nèi)容并嘗試給出了云計算的體系結(jié)構(gòu)，重點(diǎn)闡述了著名開源云計算和存儲框架Hadoop，尤其是其分布式文件系統(tǒng)HDFS。在充分研究了地理信息元數(shù)據(jù)的內(nèi)容的基礎(chǔ)上,嘗試提出了一種以地理信息元數(shù)據(jù)為核心的，以HadoopHDFS為基礎(chǔ)的云GIS空間數(shù)據(jù)管理和共享系統(tǒng)。該系統(tǒng)重點(diǎn)通過對HadoopHDFS的NameNode進(jìn)行改造，在原生NameNode管理和提供文件元數(shù)據(jù)信息的基礎(chǔ)上，增加了對基礎(chǔ)地理信息元數(shù)據(jù)的管理模塊，，使得空間數(shù)據(jù)的使用者在獲得空間數(shù)據(jù)文件在云存儲系統(tǒng)內(nèi)的存儲位置等相關(guān)元數(shù)據(jù)的同時能夠獲得基礎(chǔ)空間元數(shù)據(jù)，以便快速準(zhǔn)確的判定和選擇所需的空間數(shù)據(jù)，之后直接與空間數(shù)據(jù)存儲節(jié)點(diǎn)進(jìn)行通訊，獲取空間數(shù)據(jù)。 該系統(tǒng)試圖充分利用現(xiàn)有的HadoopHDFS在云存儲方面的各種優(yōu)勢，結(jié)合空間數(shù)據(jù)自身的特點(diǎn)，提供云GIS空間數(shù)據(jù)存儲和管理。同時提供了對詳細(xì)地理信息元數(shù)據(jù)的管理、檢索、修改和共享的地理信息元數(shù)據(jù)倉庫管理系統(tǒng)，滿足空間數(shù)據(jù)使用者對詳細(xì)地理空間元數(shù)據(jù)的需求。
[Abstract]:Human beings have entered the age of cloud computing. Related disciplines that rely on computer technology, such as geographic information systems, More people regard GIS as a subset of computer and network technology applications. Geographic Information Systems (GIS) using cloud computing and storage technologies are emerging. At the same time, with advances in spatial data acquisition technologies and methods, spatial data producers have obtained a larger quantity of high-quality and high-precision spatial data than ever before, coupled with the original spatial data of spatial data producers, The total amount of data is huge and continues to increase. This puts forward the need for efficient storage, management and sharing of large amounts of spatial data and can make full use of existing hardware devices to save money. As a cloud computing and storage technology for big data processing, it can effectively help GIS solve massive spatial data storage. Using cloud computing and storage technology to adapt cloud computing system to meet the demand of spatial data producers and users for spatial data storage management and efficient utilization. Through the research of cloud computing and storage technology, this paper expounds its concept, key technology and so on, and tries to give the architecture of cloud computing. In this paper, the famous open source cloud computing and storage framework Hadoop, especially its distributed file system HDFS. based on the full study of the content of geographic information metadata, this paper tries to put forward a kind of geographical information metadata as the core. The cloud GIS spatial data management and sharing system based on HadoopHDFS. This system focuses on the transformation of NameNode of HadoopHDFS, and adds the management module of basic geographic information metadata on the basis of managing and providing file metadata information by native NameNode. The user of spatial data can obtain the basic spatial metadata, such as the location of the spatial data file in the cloud storage system, so as to quickly and accurately judge and select the required spatial data, and make the user of the spatial data obtain the relevant metadata, such as the storage location of the spatial data file in the cloud storage system at the same time. After that, it communicates directly with spatial data storage node to obtain spatial data. The system tries to make full use of the advantages of the existing HadoopHDFS in cloud storage, and combines the characteristics of spatial data to provide cloud GIS spatial data storage and management, and also provides the management and retrieval of detailed geographic information metadata. The geographic information metadata warehouse management system is modified and shared to meet the needs of spatial data users for detailed geospatial metadata.
【學(xué)位授予單位】：中國地質(zhì)大學(xué)（北京）
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：P208

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本文編號：1618695