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» Approximate Join Processing Over Data Streams
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SSDBM
2008
IEEE
111views Database» more  SSDBM 2008»
13 years 10 months ago
iJoin: Importance-Aware Join Approximation over Data Streams
We consider approximate join processing over data streams when memory limitations cause incoming tuples to overflow the available space, precluding exact processing. Selective evi...
Dhananjay Kulkarni, Chinya V. Ravishankar
SIGMOD
2003
ACM
161views Database» more  SIGMOD 2003»
14 years 4 months ago
Approximate Join Processing Over Data Streams
We consider the problem of approximating sliding window joins over data streams in a data stream processing system with limited resources. In our model, we deal with resource cons...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald
EDBT
2004
ACM
174views Database» more  EDBT 2004»
14 years 4 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...
PODS
2005
ACM
211views Database» more  PODS 2005»
14 years 4 months ago
Join-distinct aggregate estimation over update streams
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. Pro...
Sumit Ganguly, Minos N. Garofalakis, Amit Kumar, R...
ICDE
2007
IEEE
167views Database» more  ICDE 2007»
13 years 10 months ago
Load Shedding for Window Joins on Multiple Data Streams
We consider the problem of semantic load shedding for continuous queries containing window joins on multiple data streams and propose a robust approach that is effective with the ...
Yan-Nei Law, Carlo Zaniolo