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  • av Mahdi Abdelguerfi
    1 134,-

    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

  • - The Application of Parallel Architectures to Smart Information Systems
    av Mahdi Abdelguerfi & Simon Lavington
    955,-

    This book illustrates interesting ways in which new parallel hardware is being used to improve performance and increase functionality for a variety of information systems. The book, containing 13 original papers, surveys the latest trends in performance enhancing architectures for smart information systems. It will appeal to all those engaged in the design or use of high-performance architectures for non-numeric applications.The machines featured throughout this text are 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 and are based on semantics-free hardware designs. Contents Introduction Database Machines Using Massively Parallel General Computing Platforms for DBMS Knowledge-Base Machines Artificial Intelligence Machines

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