CQ: a personalized update monitoring toolkit

  • Authors:

  • Ling Liu;Calton Pu;Wei Tang;David Buttler;John Biggs;Tong Zhou;Paul Benninghoff;Wei Han;Fenghua Yu

  • Affiliations:

  • Oregon Graduate Institute of Science and Technology, Department of Computer Science and Engineering, P.O.Box 91000 Portland, Oregon;Oregon Graduate Institute of Science and Technology, Department of Computer Science and Engineering, P.O.Box 91000 Portland, Oregon;Oregon Graduate Institute of Science and Technology, Department of Computer Science and Engineering, P.O.Box 91000 Portland, Oregon;Oregon Graduate Institute of Science and Technology, Department of Computer Science and Engineering, P.O.Box 91000 Portland, Oregon;Oregon Graduate Institute of Science and Technology, Department of Computer Science and Engineering, P.O.Box 91000 Portland, Oregon;Oregon Graduate Institute of Science and Technology, Department of Computer Science and Engineering, P.O.Box 91000 Portland, Oregon;Oregon Graduate Institute of Science and Technology, Department of Computer Science and Engineering, P.O.Box 91000 Portland, Oregon;Oregon Graduate Institute of Science and Technology, Department of Computer Science and Engineering, P.O.Box 91000 Portland, Oregon;Oregon Graduate Institute of Science and Technology, Department of Computer Science and Engineering, P.O.Box 91000 Portland, Oregon

  • Venue:
  • SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
  • Year:
  • 1998

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Abstract

The CQ project at OGI, funded by DARPA, aims at developing a scalable toolkit and techniques for update monitoring and event-driven information delivery on the net. The main feature of the CQ project is a “personalized update monitoring” toolkit based on continual queries [3]. Comparing with the pure pull (such as DBMSs, various web search engines) and pure push (such as Pointcast, Marimba, Broadcast disks) technology, the CQ project can be seen as a hybrid approach that combines the pull and push technology by supporting personalized update monitoring through a combined client-pull and server-push paradigm.