CQ: a personalized update monitoring toolkit

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.

[1]  Calton Pu,et al.  Dynamic Query Processing in DIOM. , 1997 .

[2]  Calton Pu,et al.  Differential evaluation of continual queries , 1996, Proceedings of 16th International Conference on Distributed Computing Systems.

[3]  Rafael Alonso,et al.  Broadcast Disks: Data Management for Asymmetric Communication Environments , 1994, Mobidata.

[4]  Calton Pu,et al.  A dynamic query scheduling framework for distributed and evolving information systems , 1997, Proceedings of 17th International Conference on Distributed Computing Systems.