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Towards Automatic Optimization of MapReduce Programs

Authors: 
Babu, S

Timely and cost-effective processing of large datasets has become
a critical ingredient for the success of many academic, govern-
ment, and industrial organizations. The combination of MapRe-
duce frameworks and cloud computing is an attractive proposition
for these organizations. However, even to run a single program
in a MapReduce framework, a number of tuning parameters have
to be set by users or system administrators. Users often run into
performance problems because they don’t know how to set these
parameters, or because they don’t even know that these parame-

Year: 
2010
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