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» Load Shedding for Aggregation Queries over Data Streams
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DAMON
2008
Springer
14 years 11 months ago
CAM conscious integrated answering of frequent elements and top-k queries over data streams
Frequent elements and top-k queries constitute an important class of queries for data stream analysis applications. Certain applications require answers for both frequent elements...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
ICDE
2009
IEEE
179views Database» more  ICDE 2009»
15 years 4 months ago
Self-Tuning, Bandwidth-Aware Monitoring for Dynamic Data Streams
— We present SMART, a self-tuning, bandwidth-aware monitoring system that maximizes result precision of continuous aggregate queries over dynamic data streams. While prior approa...
Navendu Jain, Praveen Yalagandula, Michael Dahlin,...
SIGMOD
2005
ACM
133views Database» more  SIGMOD 2005»
15 years 9 months ago
Semantics and Evaluation Techniques for Window Aggregates in Data Streams
A windowed query operator breaks a data stream into possibly overlapping subsets of data and computes results over each. Many stream systems can evaluate window aggregate queries....
Jin Li, David Maier, Kristin Tufte, Vassilis Papad...
EDBT
2004
ACM
174views Database» more  EDBT 2004»
15 years 9 months ago
Processing Data-Stream Join Aggregates Using Skimmed Sketches
There is a growing interest in on-line algorithms for analyzing and querying data streams, that examine each stream element only once and have at their disposal, only a limited amo...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
VLDB
2007
ACM
181views Database» more  VLDB 2007»
15 years 9 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...