Query execution timing: taming real-time anytime queries on multicore processors

  • Authors:
  • Chunyao Song;Zheng Li;Tingjian Ge;Jie Wang

  • Affiliations:
  • University of Massachusetts, Lowell, Lowell, MA, USA;University of Massachusetts, Lowell, Lowell, MA, USA;University of Massachusetts, Lowell, Lowell, MA, USA;University of Massachusetts, Lowell, Lowell, MA, USA

  • Venue:
  • Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
  • Year:
  • 2013

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Abstract

Answering real-time queries, especially over probabilistic data, is becoming increasingly important for service providers. We study anytime query processing algorithms, and extend the traditional query execution plan with a timing component. Our focus is how to determine this timing component, given the queries' deadline constraints. We consider the common multicore processors. Specifically, we propose two query optimization modes: offline periodic optimization and online optimization. We devise efficient algorithms for both offline and online cases followed by a competitive analysis to show the power of our online optimization. Finally, we perform a systematic experimental evaluation using real-world datasets to verify our approaches.