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.
Tong Zhou (周彤)合作论文数Beijing National Research Center for Information Science and Technology, Tsinghua University;Department of Automation, Tsinghua University1
Wei Han合作论文数1Wei Tang合作论文数1
David Buttler合作论文数Lawrence Livermore National Laboratory1
Calton Pu合作论文数Center for Experimental Research in Computer Systems, College of Computing, Georgia Institute of Technology;School of Computer Science, College of Computing, Georgia Institute of Technology1
Ling Liu合作论文数School of Computer Science, Georgia Institute of Technology;College of Computing, Georgia Institute of Technology1Paul Benninghoff合作论文数1Fenghua Yu合作论文数1
