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SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
14 years 9 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
ICPADS
2006
IEEE
14 years 2 months ago
Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment
When computationally feasible, mining extremely large databases produces tremendously large numbers of frequent patterns. In many cases, it is impractical to mine those datasets d...
Mohammad El-Hajj, Osmar R. Zaïane
ICDCS
1999
IEEE
14 years 1 months ago
Run-time Detection in Parallel and Distributed Systems: Application to Safety-Critical Systems
There is growing interest in run-time detection as parallel and distributed systems grow larger and more complex. This work targets run-time analysis of complex, interactive scien...
Beth Plale, Karsten Schwan
DOLAP
1998
ACM
14 years 1 months ago
Dynamic Maintenance of Multidimensional Range Data Partitioning for Parallel Data Processing
Star schema has been a typical model for both online transaction processing in traditional databases and online analytical processing in large data warehouses. In the star schema,...
Junping Sun, William I. Grosky
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
14 years 3 months ago
Incorporating partitioning and parallel plans into the SCOPE optimizer
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
Jingren Zhou, Per-Åke Larson, Ronnie Chaiken