DC 欄位 |
值 |
語言 |
DC.contributor | 企業管理學系 | zh_TW |
DC.creator | 吳傳勝 | zh_TW |
DC.creator | Chuan-sheng Wu | en_US |
dc.date.accessioned | 2011-7-21T07:39:07Z | |
dc.date.available | 2011-7-21T07:39:07Z | |
dc.date.issued | 2011 | |
dc.identifier.uri | http://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=984201012 | |
dc.contributor.department | 企業管理學系 | zh_TW |
DC.description | 國立中央大學 | zh_TW |
DC.description | National Central University | en_US |
dc.description.abstract | 雲端運算(Cloud Computing)在近年來主要都被著重在運算導向之議題上,而少有人將其著重在資料導向之議題上。另一方面,近年來由於企業使用商業智慧(Business Intelligence)軟體以支援管理者進行決策的現象逐漸增加,但由於商業智慧軟體內的資料量相當龐大,導致管理者在透過商業智慧軟體進行資料查詢時需要耗費很長時間。有鑑於此,本研究目的是希望將企業內多個查詢,在已知其所對應的查詢樹(Query tree)模型下,有效的將查詢樹上的每一個view及查詢所需的相關資料配置到雲端龐大的運算資源上以進行運算,藉此讓每一個查詢皆可獲得較短的查詢回應時間。
在模擬分析時,本研究以SAP公司的ECC6.0 ERP系統中BIW模組內Business content所提供之範例為基礎,並使用Java程式語言撰寫所設計的演算法,藉此產生將多個查詢及查詢相關資料有效配置給雲端上的運算資源之組合。
| zh_TW |
dc.description.abstract | In recent years, Cloud Computing has been focused on operations-oriented issues. Data-oriented issues are less concerned. On the other hand, companies increasingly use Business Intelligence (BI) software to support management decision-making in recent years.
However, as the amount of data in the BI is enormous, makes managers take a long time to query. For this reason, the purpose of this study is to query efficiently the corresponding query tree models in the Cloud Computing, and make query time shorter.
In the simulation analysis, this study uses the Business content to provided examples based by SAP’’s BIW ECC6.0 ERP system modules and algorithm written by Java programming language.With this algorithm, the query configuration combination of multiple queries and cloud computing resources is obtained.
| en_US |
DC.subject | 商業智慧 | zh_TW |
DC.subject | 雲端運算 | zh_TW |
DC.subject | Business Intelligence | en_US |
DC.subject | Cloud Computing | en_US |
DC.title | 雲端環境下商業智慧查詢樹配置之研究 | zh_TW |
dc.language.iso | zh-TW | zh-TW |
DC.title | BI Query Allocation in Cloud Computing Environment | en_US |
DC.type | 博碩士論文 | zh_TW |
DC.type | thesis | en_US |
DC.publisher | National Central University | en_US |