TAILIEUCHUNG - Database Access and Integration Services on the Grid

To transcend these limitations, Greenplum assembled a team of the world’s leading database experts and built a shared-nothing massively parallel processing database, designed from the ground up to achieve the highest levels of parallelism and efficiency for complex BI and analytical processing. In this architecture, each unit acts as a self-containe database management system that owns and manages a distinct portion of the overall data. The system automatically distributes data and parallelizes query workloads across all available hardware. The Greenplum Database shared-nothing architecture separates the physical storage of data into small units on individual segment servers (Figure 2), each with a. | UK e-Science Technical Report Series ISSN 1751-5971 Database Access and Integration Services on the Grid Norman W Paton Department of Computer Science University of Manchester Manchester M13 9PL UK. email norm@ Vijay Dialani Dept. of Electronics and Computer Science University of Southampton Southampton SO17 1BJ UK. email vkd00r@ Tony Storey IBM United Kingdom Laboratories Hursley Park Winchester SO21 2JN UK email tony_storey@ Malcolm P Atkinson National e-Science Centre 15 South College Street Edinburgh EH8 9AA UK. email mpa@ Dave Pearson Oracle UK Ltd. Thames Valley Park Reading RG6 1RA UK email Paul Watson Department of Computing Science University of Newcastle upon Tyne Newcastle upon Tyne NE1 7RU UK email February 1 2002 Abstract Research and development activities relating to the Grid have generally focused on applications where data is stored in files. Although this has allowed progress to be made rapidly with various aspects of Grid infrastructure database management systems have a central role in data storage access organisation authorisation reorganisation etc for numerous applications including those in eScience. This document makes a proposal for a collection of services that support i consistent access to databases from Grid applications and ii coordinated use of multiple databases from Grid middleware. It is hoped that the proposal which should be considered to be preliminary can help to foster a wider activity on the formulation of standards for databases and the Grid. 1 Introduction Many scientific applications use database management systems to structure and store important data sets. Many such applications stand to benefit from Grid facilities for supporting the sharing dissemination and analysis of such data sets. However research and development activities relating to the Grid have generally focused on applications where data is stored in files. Our .

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