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» Google's MapReduce programming model - Revisited
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SEMWEB
2010
Springer
13 years 5 months ago
Signal/Collect: Graph Algorithms for the (Semantic) Web
The Semantic Web graph is growing at an incredible pace, enabling opportunities to discover new knowledge by interlinking and analyzing previously unconnected data sets. This confr...
Philip Stutz, Abraham Bernstein, William Cohen
SC
2009
ACM
14 years 2 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
PVLDB
2010
146views more  PVLDB 2010»
13 years 2 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
HPDC
2010
IEEE
13 years 7 months ago
Parallel processing of data from very large-scale wireless sensor networks
In this paper we explore the problems of storing and reasoning about data collected from very large-scale wireless sensor networks (WSNs). Potential worldwide deployment of WSNs f...
Christine Jardak, Janne Riihijärvi, Frank Old...
DOLAP
2010
ACM
13 years 5 months ago
Relational versus non-relational database systems for data warehousing
Relational database systems have been the dominating technology to manage and analyze large data warehouses. Moreover, the ER model, the standard in database design, has a close r...
Carlos Ordonez, Il-Yeol Song, Carlos Garcia-Alvara...