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SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
16 years 4 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
SIGMOD
2005
ACM
141views Database» more  SIGMOD 2005»
16 years 4 months ago
Fault-tolerance in the Borealis distributed stream processing system
We present a replication-based approach to fault-tolerant distributed stream processing in the face of node failures, network failures, and network partitions. Our approach aims t...
Magdalena Balazinska, Hari Balakrishnan, Samuel Ma...
SIGMOD
2003
ACM
161views Database» more  SIGMOD 2003»
16 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
2010
ACM
200views Database» more  EDBT 2010»
15 years 11 months ago
Rewrite techniques for performance optimization of schema matching processes
A recurring manual task in data integration, ontology alignment or model management is finding mappings between complex meta data structures. In order to reduce the manual effor...
Eric Peukert, Henrike Berthold, Erhard Rahm
ICDE
2008
IEEE
204views Database» more  ICDE 2008»
15 years 10 months ago
Parallel Distributed Processing of Constrained Skyline Queries by Filtering
— Skyline queries are capable of retrieving interesting points from a large data set according to multiple criteria. Most work on skyline queries so far has assumed a centralized...
Bin Cui, Hua Lu, Quanqing Xu, Lijiang Chen, Yafei ...