471 search results - page 6 / 95 » MapReduce: Simplified Data Processing on Large Clusters |
114
Voted
ICDE
2011
IEEE
14 years 4 months ago
2011
IEEE
MapReduce is a computing paradigm that has gained a lot of popularity as it allows non-expert users to easily run complex analytical tasks at very large-scale. At such scale, task...
HPDC
2010
IEEE
15 years 1 months ago
2010
IEEE
MapReduce offers a flexible programming model for processing and generating large data sets on dedicated resources, where only a small fraction of such resources are every unavaila...
104
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SIGMOD
2010
ACM
15 years 5 months ago
2010
ACM
The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
103
Voted
SIGMOD
2010
ACM
15 years 5 months ago
2010
ACM
Time-oriented progress estimation for parallel queries is a challenging problem that has received only limited attention. In this paper, we present ParaTimer, a new type of timere...
120
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SCP
2008
15 years 8 days ago
2008
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first rigorous description of the model including it...