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» Scalable Distributed Reasoning Using MapReduce
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HPDC
2010
IEEE
13 years 6 months ago
Improving the Hadoop map/reduce framework to support concurrent appends through the BlobSeer BLOB management system
Hadoop is a reference software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. Althoug...
Diana Moise, Gabriel Antoniu, Luc Bougé
ICDE
2012
IEEE
267views Database» more  ICDE 2012»
11 years 7 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
ASWC
2008
Springer
13 years 7 months ago
Scalable Distributed Ontology Reasoning Using DHT-Based Partitioning
Abstract. Ontology reasoning is an indispensable step to fully exploit the implicit semantics of Semantic Web data. The inherent distribution characteristic of the Semantic Web and...
Qiming Fang, Ying Zhao, Guangwen Yang, Weimin Zhen...
CLUSTER
2009
IEEE
13 years 3 months ago
MITHRA: Multiple data independent tasks on a heterogeneous resource architecture
With the advent of high-performance COTS clusters, there is a need for a simple, scalable and faulttolerant parallel programming and execution paradigm. In this paper, we show that...
Reza Farivar, Abhishek Verma, Ellick Chan, Roy H. ...
SC
2009
ACM
14 years 4 days 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