[PDF] Parallel Database Techniques eBook

Author : Mahdi Abdelguerfi
Publisher : Wiley-IEEE Computer Society Press
Page : 240 pages
File Size : 40,35 MB
Release : 1998-08-13
Category : Computers
ISBN :

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Parallel processing technology in the next generation of Database Management Systems (DBMSs) make it possible to meet challenging new requirements. Database technology is rapidly expanding new application areas brings unique challenges such as increased functionality and efficient handling of very large heterogeneous databases. Abdelguerfi and Wong present the latest techniques in parallel relational databases illustrating high-performance achievements in parallel database systems. The text is st5ructured according to the overall architecture of a parallel database system presenting various techniques that may be adopted to the design of parallel database software and hardware execution environments. These techniques can directly or indirectly lead to high-performance parallel database implementation. The book's main focus follows the authors' engineering model: A survey of parallel query optimization techniques for requests involving multi-way joins A new technique for a join operation that can be adopted in the local optimization stage A framework for recovery in parallel database systems using the ACTA formalism The architectural details of NCR's new Petabyte multimedia database system A description of the Super Database Computer (SDC-II) A case study for a shared-nothing parallel database server that analyzes and compares the effectiveness of five data placement techniques

Author : David Taniar
Publisher : John Wiley & Sons
Page : 575 pages
File Size : 38,65 MB
Release : 2008-09-17
Category : Computers
ISBN : 0470391359

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The latest techniques and principles of parallel and grid database processing The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS). This important new book provides readers with a fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. It presents a balanced treatment of the theoretical and practical aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models, and grid transactions. High-Performance Parallel Database Processing and Grid Databases serves as a valuable resource for researchers working in parallel databases and for practitioners interested in building a high-performance database. It is also a much-needed, self-contained textbook for database courses at the advanced undergraduate and graduate levels.

Author : Ioannis Vlahavas
Publisher : Springer
Page : 0 pages
File Size : 12,19 MB
Release : 2010-12-07
Category : Computers
ISBN : 9781441950291

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Knowledge Base Systems are an integration of conventional database systems with Artificial Intelligence techniques. They provide inference capabilities to the database system by encapsulating the knowledge of the application domain within the database. Knowledge is the most valuable of all corporate resources that must be captured, stored, re-used and continuously improved, in much the same way as database systems were important in the previous decade. Flexible, extensible, and yet efficient Knowledge Base Systems are needed to capture the increasing demand for knowledge-based applications which will become a significant market in the next decade. Knowledge can be expressed in many static and dynamic forms; the most prominent being domain objects, their relationships, and their rules of evolution and transformation. It is important to express and seamlessly use all types of knowledge in a single Knowledge Base System. Parallel, Object-Oriented, and Active Knowledge Base Systems presents in detail features that a Knowledge Base System should have in order to fulfill the above requirements. Parallel, Object-Oriented, and Active Knowledge Base Systems covers in detail the following topics: Integration of deductive, production, and active rules in sequential database systems. Integration and inter-operation of multiple rule types into the same Knowledge Base System. Parallel rule matching and execution, for deductive, production, and active rules, in parallel Export, Knowledge Base, and Database Systems. In-depth description of a Parallel, Object-Oriented, and Active Knowledge Base System that integrates all rule paradigms into a single database system without hindering performance. Parallel, Object-Oriented, and Active Knowledge Base Systems is intended as a graduate-level text for a course on Knowledge Base Systems and as a reference for researchers and practitioners in the areas of database systems, knowledge base systems and Artificial Intelligence.

Author : Alex A. Freitas
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 23,15 MB
Release : 1997-11-30
Category : Computers
ISBN : 0792380487

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Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms. The book is divided into three parts. The first part presents a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers. It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science. The primary audience for Mining Very Large Databases with Parallel Processing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.

Author : Elisa Bertino
Publisher : Springer Science & Business Media
Page : 138 pages
File Size : 15,24 MB
Release : 1994-01-31
Category : Computers
ISBN : 9780792394402

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Distributed and Parallel Database Object Management brings together in one place important contributions and state-of-the-art research results in this rapidly advancing area of computer science. Distributed and Parallel Database Object Management serves as an excellent reference, providing insights into some of the most important issues in the field.

Author : Michael Jaedicke
Publisher : Springer Science & Business Media
Page : 172 pages
File Size : 17,98 MB
Release : 2001-10-17
Category : Computers
ISBN : 3540427813

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During the last few years, parallel object-relational database management systems have emerged as the leading data management technology on the market. These systems are extensible by user-defined data types and user-defined functionality for the data. This work focuses on the efficient parallel execution of user-defined functionality. The main contributions describe techniques to support data parallelism for user-defined scalar and aggregate functions and intra-function parallelism for the execution of a scalar function on a large object, and a new technology to provide extensibility with regard to new set-oriented database operations that can efficiently implement user-defined functionality in parallel object-relational database management systems.

Author : Svein-Olaf Hvasshovd
Publisher : Springer-Verlag
Page : 309 pages
File Size : 47,4 MB
Release : 2013-11-11
Category : Computers
ISBN : 3322915344

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The relational DBMS technology is a success in the commercial market. This success has led to the use of DBMS technology in application environments requesting their traditional virtues but at the same time adding new requirements such as: Very high transaction rates, real-time transaction response, and continuous availability. New multi-processor hardware architectures lay the foundation making it possible to meet these requirements. This book presents and analysis in a systematic way the main recovery approaches for centralised DBMSs developed over the last two decades, in particular to how well they fulfil the requirements for availability and soft real-time response. The analysis relates specifically to approaches used in current commercial and research systems. The element in particular lacking in the current methods is the ability to on-line re-establish the faulttolerance level automatically and without blocking. A set of novel recovery methods for parallel DBM's based on multi-computer shared nothing hardware is presented. The recovery methods are intended to support: Continuously available transaction services, very high transaction loads, and soft real-time transaction response. Dieses Buch gibt einen guten, systematisch gegliederten Einblick in die maßgeblichen Methoden des Recovery ("Wiederherstellung"), eines der wichtigsten Themen im Bereich des Handlings großer Datenbanksysteme. Dabei geht es darum, wie die Verfügbarkeit korrekter Daten gewährleistet sowie Transaktionen und Änderungen von Daten hinsichtlich Echtzeit möglichst optimal bewerkstelligt werden können. Behandelt werden sowohl kommerzielle wie auch in der Forschung verwandte parallele Systeme.

Author : Hongjun Lu
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Page : 400 pages
File Size : 44,36 MB
Release : 1994
Category : Computers
ISBN :

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Provides readers with a background knowledge of parallel database query processing and optimization and covers recent developments in the field. Subjects include design approaches, architecture of parallel database systems, parallel sorting, parallel processing of join, data skew and load balancing,