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» Approximate Join Processing Over Data Streams
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VLDB
2007
ACM
145views Database» more  VLDB 2007»
14 years 8 months ago
Executing Stream Joins on the Cell Processor
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
Bugra Gedik, Philip S. Yu, Rajesh Bordawekar
PODS
2003
ACM
143views Database» more  PODS 2003»
14 years 8 months ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
DASFAA
2004
IEEE
124views Database» more  DASFAA 2004»
14 years 11 days ago
Polygon and Polyline Join Using Raster Filters
Processing spatial joins efficiently is crucial to rendering the spatial data analysis process feasible. As pointed out in many works, the exact intersection test of two spatial ob...
Rodrigo Salvador Monteiro, Leonardo Guerreiro Azev...
SIGMETRICS
2010
ACM
181views Hardware» more  SIGMETRICS 2010»
13 years 8 months ago
A unified modeling framework for distributed resource allocation of general fork and join processing networks
This paper addresses the problem of distributed resource allocation in general fork and join processing networks. The problem is motivated by the complicated processing requiremen...
Haiquan (Chuck) Zhao, Cathy H. Xia, Zhen Liu, Dona...
SIGMOD
1994
ACM
106views Database» more  SIGMOD 1994»
14 years 22 days ago
Multi-Step Processing of Spatial Joins
Spatial joins are one of the most important operations for combining spatial objects of several relations. In this paper, spatial join processing is studied in detail for extended...
Thomas Brinkhoff, Hans-Peter Kriegel, Ralf Schneid...