59 search results - page 3 / 12 » Google's MapReduce programming model - Revisited |
CEC
2007
IEEE
13 years 10 months ago
2007
IEEE
In optimization problems involving large amounts of data, such as web content, commercial transaction information, or bioinformatics data, individual function evaluations may take ...
SIGMOD
2010
ACM
13 years 11 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 ...
NSDI
2010
13 years 7 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...
ICWS
2009
IEEE
13 years 4 months ago
2009
IEEE
MapReduce has recently gained a lot of attention as a parallel programming model for scalable data-intensive business and scientific analysis. In order to benefit from this powerf...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
: Cloud infrastructures enable the efficient parallel execution of data-intensive tasks such as entity resolution on large datasets. We investigate challenges and possible solution...