Emerging Trends In Database And Knowledge Based Machines: The Application Of Parallel Architectures To Smart Information Systems
暫譯: 資料庫與知識基礎機器的新興趨勢:平行架構在智慧資訊系統中的應用
Mahdi Abdelguerfi
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商品描述
Description:
This book illustrates important ways in which new parallel hardware is being used to improve the speed and usefulness of a variety of information systems. It contains thirteen original papers that survey the latest trends in performance enhancing architectures for smart information systems.
The machines featured in the text have been designed to support information systems ranging from relational databases to semantic networks and other artificial intelligence paradigms. In addition, many of the projects illustrated in the book contain generic architectural ideas that support higher-level requirements by using semantics-free hardware designs.
The case studies describe add-on machines and performance-enhancing units that employ parallel hardware to speed up database operations. Other case studies show how high-performance computers support database and related software, even though some platforms were originally designed for scientific or numeric applications. The last three chapters give examples of machines that are deliberately designed to speed up a particular knowledge representation formalism or a particular AI problem solving paradigm. The information presented throughout this book will help all those engaged in the design or use of high-performance architectures for nonnumeric (i.e., symbolic) applications.
Table of Contents:
1. Introduction: Parallel Database and Knowledge-Base Systems (M. Abdelguerfi & S. Lavington).
DATABASE MACHINES.
2. IDIOMS: A Multitransputer Database Machine (J. Kerridge).
3. From DBC to MDBS—A Progression in Database Machine Research (D. Hsiao & W. Wang).
4. Rinda: A Relational Database Processor for Large Databases (T. Satoh & U. Inoue).
5. A Paginated Set-Associate Architecture for Databases (P. Faudemay).
6. Parallel Multi-Wavefront Algorithms for Pattern-Based Processing of Object-Oriented Databases (S. Su, <i>et al.</i>).
7. The Datacycle Architecture: A Database Broadcast System (T. Bowen, <i>et al.</i>).
USING MASSIVELY-PARALLEL GENERAL COMPUTING PLATFORMS FOR DBMS.
8. Industrial Database Supercomputer Exegesis: The DBC/1012, The NCR 3700, The Ynet, and The Bynet (F. Cariño, <i>et al.</i>).
9. A Massively Parallel Indexing Engine Using DAP (N. Bond & S. Reddaway).
KNOWLEDGE-BASE MACHINES.
10. The IFS/2: Add-on Support for Knowledge-Base Systems (S. Lavington).
11. EDS: An Advanced Parallel Database Server (L. Borrmann, <i>et al.</i>).
12. A Parallel and Distributed Environment for Database Rule Processing: Open Problems and Future Directions (S. Stolfo, <i>et al.</i>).
ARTIFICIAL INTELLIGENCE MACHINES.
13. IXM2: A Parallel Associative Processor for Knowledge Processing (T. Higuchi).
14. An Overview of the Knowledge Crunching Machine (J Noyé).
商品描述(中文翻譯)
**書籍描述:**
本書說明了新型平行硬體在提升各種資訊系統的速度和效用方面的重要應用。書中包含十三篇原創論文,調查了智能資訊系統性能增強架構的最新趨勢。
書中介紹的機器設計用於支持從關聯資料庫到語意網絡及其他人工智慧範式的資訊系統。此外,書中許多專案展示了通用架構理念,透過無語意的硬體設計來支持更高層次的需求。
案例研究描述了附加機器和性能增強單元,這些單元利用平行硬體加速資料庫操作。其他案例研究則展示了高性能計算機如何支持資料庫及相關軟體,即使某些平台最初是為科學或數值應用設計的。最後三章提供了故意設計以加速特定知識表示形式或特定人工智慧問題解決範式的機器範例。本書中提供的信息將幫助所有從事高性能架構設計或使用非數值(即符號)應用的人士。
**目錄:**
1. 介紹:平行資料庫與知識庫系統(M. Abdelguerfi & S. Lavington)。
2. IDIOMS:一種多轉換器資料庫機器(J. Kerridge)。
3. 從 DBC 到 MDBS—資料庫機器研究的進展(D. Hsiao & W. Wang)。
4. Rinda:大型資料庫的關聯資料庫處理器(T. Satoh & U. Inoue)。
5. 一種分頁集關聯架構的資料庫(P. Faudemay)。
6. 用於物件導向資料庫的平行多波前演算法(S. Su,等)。
7. Datacycle 架構:一種資料庫廣播系統(T. Bowen,等)。
8. 使用大規模平行通用計算平台的資料庫管理系統(DBMS)。
9. 工業資料庫超級計算機的解釋:DBC/1012、NCR 3700、Ynet 和 Bynet(F. Cariño,等)。
10. 使用 DAP 的大規模平行索引引擎(N. Bond & S. Reddaway)。
11. 知識庫機器。
12. IFS/2:知識庫系統的附加支持(S. Lavington)。
13. EDS:一種先進的平行資料庫伺服器(L. Borrmann,等)。
14. 用於資料庫規則處理的平行和分散環境:開放問題與未來方向(S. Stolfo,等)。
15. 人工智慧機器。
16. IXM2:一種用於知識處理的平行關聯處理器(T. Higuchi)。
17. 知識處理機的概述(J. Noyé)。