網格 (Grid) 是繼 Internet 之後又一項重大的網路進步。這是由於網格系統 (Grid System) 具有廣泛使用性、高效能等特質。然而，網格系統中資料儲存空間的一致性和共用性亦受到挑戰。因此，計算網格 (Computational Grid)與資料網格 (Data Grid)協同應用上的問題更加顯的重要。運用叢集系統及其平行技術建置一套具有可用度高、擴充性強、高運算能力又兼具大型的儲存空間在網格下，將可解決上述問題。在這篇論文中，我們提出一個可以在網格系統裏，同時擁有高速運算的計算網格及高存取率的資料網格解決方法。在我們所架設環境中，計算網格部份，使用了叢集計算系統 (Cluster Computing)增加系統協同運算效能。資料網格部份，運用較高存取效能的平行檔案系統 (PVFS)，已充分運用網格系統中有效的儲存空間。整個系統設計提高了網格系統的多用性能，提高存取率及運算效能。不論對大量資料存取或是巨量運算，都提供相當不錯的平台給網格使用者運用。

Grid is a great progress of network after Internet because the Grid System provides a specialty that it can be used popularly and effectively. However, it is a challenge to the consistency and community of use on the data storages space of Grid System. Therefore, the problem of application for the Computational Grid and Data Grid is more important. It can set up a usability, expandability, high operation capability, and large memory space in Grid with the Cluster system and parallel technique in order to solve the problem. In this paper, we provided a Grid with high operation capability and higher storage to solve the problem. As to the Grid setting, we take use of the Cluster computing to increase the operation effect for computing, and a PVFS2 with more storages effect for data. It can supply a quite correct platform for Grid user whether for large data access or huge operation.

Table of Contents
摘要 ii
Abstract iii
Table of Contents v
List of Tables vi
List of Figures vii
Chapter 1 Introduction 1
Chapter 2 Background 3
2.1. Cluster Computing 3
2.2. Grid Computing 4
2.3. Data Grids 6
2.4. PVFS 7
2.5. GridFTP 9
Chapter 3 System Architecture 11
3.1. Local PVFS for Cluster 12
3.2. PVFS for Grid 14
Chapter 4 System Implementation 18
4.1. System requirement 18
4.2. Local PVFS System install and configure 18
4.3. Global PVFS setup and configuration 24
4.4. Implementation result 29
Chapter 5 Application: Building a PVFS e-Learning Portal 31
Chapter 6 Conclusion and Future Work 33
Bibliography 34

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