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SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
16 years 2 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...
153
Voted
PVLDB
2008
182views more  PVLDB 2008»
15 years 2 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
ISCAPDCS
2001
15 years 3 months ago
AMOS-SDDS: A Scalable Distributed Data Manager for Windows Multicomputers
Known parallel DBMS offer at present only static partitioning schemes. Adding a storage node is then a cumbersome operation that typically requires the manual data redistribution....
Yakham Ndiaye, Aly Wane Diene, Witold Litwin, Tore...
244
Voted
ICDE
2008
IEEE
215views Database» more  ICDE 2008»
16 years 3 months ago
Fast and Simple Relational Processing of Uncertain Data
This paper introduces U-relations, a succinct and purely relational representation system for uncertain databases. U-relations support attribute-level uncertainty using vertical pa...
Lyublena Antova, Thomas Jansen, Christoph Koch, Da...
203
Voted
SIGMOD
2006
ACM
158views Database» more  SIGMOD 2006»
16 years 2 months ago
Continuous query processing in data streams using duality of data and queries
Recent data stream systems such as TelegraphCQ have employed the well-known property of duality between data and queries. In these systems, query processing methods are classified...
Hyo-Sang Lim, Jae-Gil Lee, Min-Jae Lee, Kyu-Young ...