471 search results - page 4 / 95 » MapReduce: Simplified Data Processing on Large Clusters |
HPDC
2010
IEEE
15 years 1 months ago
2010
IEEE
MapReduce programming model has simplified the implementation of many data parallel applications. The simplicity of the programming model and the quality of services provided by m...
123
Voted
SIGMOD
2010
ACM
15 years 5 months ago
2010
ACM
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, the output of each MapReduce task and job is materialized to ...
119
Voted
ICDE
2011
IEEE
14 years 4 months ago
2011
IEEE
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
103
Voted
PVLDB
2010
14 years 10 months ago
2010
Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementat...
119
Voted
NSDI
2010
15 years 1 months ago
2010
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many implementations of MapReduce materialize the entire outp...