A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
NativeTask: A Hadoop compatible framework for high performance
2013
2013 IEEE International Conference on Big Data
Although Hadoop MapReduce provides good programming abstractions and horizontal scalability, it's often blamed for its poor single node performance. In the meantime, MapReduce has already achieved a large install base, thus any performance improvement should keep the compatibility. In this paper, we address the challenges via several approaches guided by low-level performance analysis. And we materialize the approaches via NativeTask, a high-performance, fully compatible MapReduce execution
doi:10.1109/bigdata.2013.6691703
dblp:conf/bigdataconf/YangZYDYLZJW13
fatcat:i6oblu6g6ffozaqc6supzl7zri