列式資料倉儲在隨機查詢需求及回覆時間限制下之資料儲存與維護策略

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姓名

葉亭佑(Ting-Yu Yeh) 查詢紙本館藏

畢業系所

工業管理研究所

論文名稱

列式資料倉儲在隨機查詢需求及回覆時間限制下之資料儲存與維護策略
(Determination of Materialized View Selection and Maintenance Policy with Stochastic Query and Response Time Constraints in Column-based Data Warehouse System)

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摘要(中)

近年來大數據的議題在很多領域都被討論，為了有效的處理及分析如此龐大的資料，資料倉儲是一個重要的關鍵，已經有多研究表示Column-based Data Warehouse比傳統的Row-based Data Warehouse有更好的表現，所以Column-based Data Warehouse 成為了現在很多資料庫系統所使用的資料儲存架構，如SAP HANA。除此之外，在資料倉儲系統中，使用者進行查詢會產生大量的成本，View Selection問題決定哪些查詢的結果資料要預先儲存在資料倉儲之中，View Maintenance Policy則決定什麼時候要去更新這些儲存在資料倉儲內的資料。
在本研究中，我們建立了一個新的MVPP模型能夠表現出Column-based Data Warehouse中的查詢過程，並藉由修改Liu等人(2008)所提出的成本模型，建立了可以考慮到隨機性的查詢及資料更新在系統查詢回覆時間的限制之下。為了符合現實的情況，模型假設隨機的查詢到達率符合普瓦松分配，使用M/G/1模型來限制系統查詢的回覆時間，並在AMPL/MINOS的環境下建立數學模型，計算出相關的成本以及決策。除此之外，我們設計數個不同的案例，來評估及比較Column-based Data Warehouse與傳統資料儲存架構Row-based Data Warehouse的差異。

摘要(英)

In recent years, the issue of Big Data has been discussed in many areas. In order to analyze such a huge amount of information, the data warehouse is an important key. Many researches show that the performance of column-based data warehouse is better than the row-based data warehouse. The column-based data warehouse becomes popular storage architecture used by database systems such as SAP HANA. In the data warehouse, the view selection problem is to select a set of views to be materialized, when minimizing the total of query processing cost and view maintenance cost. The update policy is to decide when to refresh the data in a data warehouse.
In this research, we propose a new multiple view processing plan model which can present the operations in the column-based data warehouse. Modify the cost model in Liu et al. (2008) and propose a cost model which can consider the appearance of the stochastic query arrival and stochastic update, which contained a specified response time limit. For model according to the reality, we incorporate stochastic query into the model follows Poisson process and the constraints of system response time is formulated by an M/G/1 model. We use AMPL/MINOS to solve and implement the mathematical model. In addition, we also design several cases to evaluate the difference in view selection and total cost between the Column-based data warehouse and Row-based Data Warehouse.

關鍵字(中)

★ 列式資料倉儲
★ 資料倉儲
★ 資料維護策略

關鍵字(英)

★ Column-based data warehouse
★ View selection
★ View maintenance policy
★ View Materialization
★ Multiple view processing plan
★ AMPL/MINOS

論文目次

摘要 I
Abstract II
Contents IV
List of Figures VI
List of Tables VIII
Chapter 1 Introduction 1
1.1 Research background and motivation 1
1.2 Problem description 4
1.3 Research objectives 6
1.4 Research methodology and procedure 6
Chapter 2 Literature Review 8
2.1 Column-based data warehouse 8
2.2 Framework for view selection 14
2.3 View selection problem 18
2.4 View maintenance policy 20
Chapter 3 Mathematical Model 23
3.1 Multiple View Processing Plan (MVPP) 23
3.1.1 MVPP symbols 25
3.1.2 Differences between Row-based and Column-based MVPP 25
3.2 Definitions and assumptions 28
3.2.1 Definitions 28
3.2.2 Assumptions 29
3.3 Notations 30
3.4 The mathematic model 31
3.4.1 Basic objective function 33
3.4.2 Modeling of view maintenance policy 35
3.4.3 Modeling of executing AND operation 41
3.4.4 Modeling of storage space constraint 42
3.4.5 Modeling of view set selecting restriction 43
3.4.6 Modeling of response time constraint 43
Chapter 4 Model Application 47
4.1 The greedy algorithm for view selection in MVPP 47
4.2 Validation and evaluation 48
4.2.1 Validation 48
4.2.2 Evaluation 51
Chapter 5 Conclusion 75
5.1 Research Contribution 75
5.2 Future Research 77
Reference 78
Appendix A. Mathematical model in AMPL format 82
Appendix B. Greedy algorithm in AMPL format 85
Appendix C. The relational matrix for cases in AMPL format 88

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古傑煥，「在查詢為隨機需求與回覆時間被限制的環境下同時決定資料倉儲所需儲存的資料與資料維護策略」，國立中央大學，碩士論文，2004年。

指導教授

沈國基

審核日期

2017-7-24

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