雲端運算於企業應用之研究

機構典藏 > College of Business and Management > Graduate Institute & Department of Information Management > Thesis > Item 987654321/34075

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/34075

Title:	雲端運算於企業應用之研究
Other Titles:	A study of cloud computing in enterprise application
Authors:	黃獻輝;Huang, Hsien-hui
Contributors:	淡江大學資訊管理學系碩士班蕭瑞祥;Shaw, Ruey-shiang
Keywords:	雲端運算;資訊基礎架構;Cloud Computing;IT Infrastructure;Enterprise Application
Date:	2009
Issue Date:	2010-01-11 04:52:23 (UTC+8)
Abstract:	雲端運算（Cloud Computing）從廣義上來說，代表了一種現在的網路使用者對於網路的使用方法，主要是利用分散式系統架構因應企業巨量資料處理需求。雲端技術的主要架構概念，是藉由一個分散式的檔案系統架構、MapReduce程式設計方法，以及低硬體等級的環境來達成高容錯，高延展的計算環境。企業在建置資訊基礎架構時，經常會因為企業規模改變而需要更動資訊基礎架構規模，本研究嘗試提出一個企業運用雲端運算解決此類問題之解決方案。本研究藉由一個開放原始碼的「Hadoop」作為解決方案之基礎，運用「Hadoop」架構中的分散式檔案系統「Hadoop Distributed File System」提供資訊資料的備份、效能及運算監控、回復機制等，可以有效地降低硬體成本，卻仍能保持良好的效能。本研究實驗測試企業常見之高階單一伺服器硬體與雲端運算中低階雲端技術架構，實驗結果顯示雲端運算架構對於巨量檔案的資料處理，較高階單一伺服器具有優秀的運作效能。此外在實驗中發現，企業在建置雲端運算環境時，需要注意Map與Reduce執行緒之比例，否則效能仍有可能降低。 Cloud computing can be a representative of the current users of the Internet for use. In the Gartner study, cloud computing will be further classified as Cloud Computing Services and Cloud computing technologies. The main Cloud computing technologies is the use of the technology of distributed system architecture to deal with when there are massive corporate demands for data processing, designed by one of the solutions. The main structure of the Cloud computing technologies concepts, is distributed by a file system architecture and the use of MapReduce programming methods, as well as to low-level hardware environment to achieve high fault-tolerant, high extension of the computing environment. Enterprises in building information infrastructure, often because of changes in the size of enterprise IT infrastructure need to change the size, so the cloud of this study was to propose a technical solution to solve this problem. We are by an open-source "Hadoop" to as our solutions by "Hadoop" structure Distributed File System "Hadoop Distributed File System" to provide information to back up data, monitor performance and computing, there are back mechanism can successfully lower hardware costs but still maintain a good performance. We have actually tested a single high-end enterprise server common hardware architecture, as well as low-level clouds clouds technology technical architecture, technical architecture found in a huge cloud of data processing files are indeed able to provide high quality are the operation of a single server performance In addition, we are the experiment found that the cloud technology enterprises in the build environment needs to pay attention to during the implementation of the Map and Reduce the proportion of order, otherwise the performance may be lower still.
Appears in Collections:	[Graduate Institute & Department of Information Management] Thesis

Files in This Item:

File	Size	Format
	0Kb	Unknown	817	View/Open

Loading...