Adaptive Query Processing: Technology in Evolution

نویسندگان

  • Joseph M. Hellerstein
  • Michael J. Franklin
  • Sirish Chandrasekaran
  • Amol Deshpande
  • Kirsten Hildrum
  • Samuel Madden
  • Vijayshankar Raman
  • Mehul A. Shah
چکیده

As query engines are scaled and federated, they must cope with highly unpredictable and changeable environments. In the Telegraph project, we are attempting to architect and implement a continuously adaptive query engine suitable for global-area systems, massive parallelism, and sensor networks. To set the stage for our research, we present a survey of prior work on adaptive query processing, focusing on three characterizations of adaptivity: the frequency of adaptivity, the effects of adaptivity, and the extent of adaptivity. Given this survey, we sketch directions for research in the Telegraph project.

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عنوان ژورنال:
  • IEEE Data Eng. Bull.

دوره 23  شماره 

صفحات  -

تاریخ انتشار 2000