Self-monitoring query execution for adaptive query processing

Anastasios Gounaris, Norman W. Paton, Alvaro A A Fernandes, Rizos Sakellariou

    Research output: Contribution to journalArticlepeer-review


    Adaptive query processing generally involves a feedback loop comprising monitoring, assessment and response. So far, individual proposals have tended to group together an approach to monitoring, a means of assessment, and a form of response. However, there are many benefits in decoupling these three phases, and in constructing generic frameworks for each of them. To this end, this paper discusses monitoring of query plan execution as a topic in its own right, and advocates an approach based on self-monitoring algebraic operators. This approach is shown to be generic and independent of any specific adaptation mechanism, easily implementable and portable, sufficiently comprehensive, appropriate for heterogeneous distributed environments, and more importantly, capable of driving on-the-fly adaptations of query plan execution. An experimental evaluation of the overheads and of the quality of the results obtained by monitoring is also presented. © 2004 Elsevier B.V. All rights reserved.
    Original languageEnglish
    Pages (from-to)325-348
    Number of pages23
    JournalData and Knowledge Engineering
    Issue number3
    Publication statusPublished - Dec 2004


    • Adaptive query processing
    • Operators
    • Query execution
    • Query monitoring


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