本文關鍵詞： 云計算 海量圖片存儲 NoSQL數(shù)據(jù)庫 緩存 熱備 負載均衡　出處：《北京郵電大學》2012年碩士論文　論文類型：學位論文

【摘要】：全球數(shù)據(jù)信息量快速增長,海量數(shù)據(jù)時代正在來臨。類似Facebook、淘寶等社交類和在線商城類互聯(lián)網(wǎng)企業(yè),隨著用戶量和業(yè)務的發(fā)展,企業(yè)存儲系統(tǒng)中的圖片數(shù)量呈指數(shù)級增長,如何有效的存儲和管理這些海量數(shù)據(jù)成為企業(yè)面臨的巨大挑戰(zhàn)。在海量數(shù)據(jù)信息時代,傳統(tǒng)的存儲架構存在擴展性較差的缺點,在用戶數(shù)量及服務性能需求提高時,就只能依靠添加高端存儲設備來暫時的解決問題,這樣下去,存儲環(huán)境會變得越來越復雜,不但沒有從根本上解決海量數(shù)據(jù)存儲帶來的挑戰(zhàn),反而提高了企業(yè)管理和運營的成本。 本文以個人和企業(yè)的圖片數(shù)據(jù)快速增長為背景,介紹了個人和國內(nèi)外企業(yè)面對的海量數(shù)據(jù)存儲挑戰(zhàn)。在此基礎上設計和實現(xiàn)了基于云計算平臺的海量圖片存儲系統(tǒng)。該系統(tǒng)需要解決的若干關鍵問題包括：架構的高可擴展性和高可靠性、圖片元數(shù)據(jù)存儲和管理、圖片文件存儲算法和圖片緩存設計等。本系統(tǒng)由五個主要模塊構成,即：圖片元數(shù)據(jù)模塊、圖片存儲模塊、圖片緩存模塊、負載均衡模塊和Web Services模塊。最后對系統(tǒng)的上傳、更新、查詢和刪除模塊進行了功能測試同時對系統(tǒng)的上傳圖片和讀取圖片模塊進行了性能測試。
[Abstract]:With the rapid growth of global data information, the age of massive data is coming. With the development of users and business, Internet enterprises such as Facebook, Taobao and other social and online shopping malls are developing. The number of images in the enterprise storage system increases exponentially. How to effectively store and manage these massive data has become a huge challenge for enterprises. In the age of mass data information. The traditional storage architecture has the disadvantage of poor scalability. When the number of users and service performance requirements increase, it can only rely on the addition of high-end storage devices to solve the problem temporarily. Storage environment will become more and more complex, not only does not fundamentally solve the huge data storage challenges, but also increases the cost of enterprise management and operation. This paper is based on the rapid growth of personal and corporate picture data. This paper introduces the challenges of mass data storage for individuals and enterprises at home and abroad, and then designs and implements a mass image storage system based on cloud computing platform. Some key problems that need to be solved in this system include:. High scalability and reliability of the architecture. The system is composed of five main modules: picture metadata module, picture storage module and picture cache module. Load balancing module and Web Services module. Finally, upload and update the system. The function of query and delete module is tested and the performance of upload and read pictures module is tested.
【學位授予單位】：北京郵電大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：TP333;TP391.41

【引證文獻】

相關碩士學位論文 前1條

1 馬文杰;基于CAP理論的海量數(shù)據(jù)存儲研究與應用[D];蘇州大學;2013年

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本文編號：1448622