Autonomies and data management

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    Traditionally, database management systems have been associated with high-cost, high-quality function-alities. That is, powerful capabilities are provided, but only in response to careful design, procurement, deployment and administration. This has been successful in many contexts, but in an environment in which data are available in increasing quantities under the management of a growing collection of distributed applications, and where effective use of available data often provides a competitive edge, there is a requirement for various benefits of a comprehensive data management infrastructure to be made available with rather fewer of the costs. If this requirement is to be met, automation will need to be deployed much more widely and systematically in data management platforms. This paper reviews recent results on autonomic data management, makes a case that current practice presents significant opportunities for further development and argues that comprehensive support for automation should be central to future data management infrastructures, whether centralized or distributed. Copyright © 2008 John Wiley & Sons, Ltd.
    Original languageEnglish
    Title of host publicationConcurrency Computation Practice and Experience|Concurrency Comput. Pract. Exper.
    PublisherJohn Wiley & Sons Ltd
    Number of pages13
    Publication statusPublished - 10 Dec 2008
    Event4th VLDB Workshop on Secure Data Management - Vienna, AUSTRIA
    Duration: 23 Sept 200724 Sept 2007


    Conference4th VLDB Workshop on Secure Data Management
    CityVienna, AUSTRIA
    Internet address


    • Adaptive
    • Autonomic
    • Database


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