Improving MapReduce performance through data placement in heterogeneous Hadoop clusters

13 years 10 months ago

MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop

Jiong Xie, Shu Yin, Xiaojun Ruan, Zhiyang Ding, Yu

Data Locality | Data Placement | Data-intensive Application | Distributed And Parallel Computing | IPPS 2010 |

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Added	13 Feb 2011
Updated	13 Feb 2011
Type	Journal
Year	2010
Where	IPPS
Authors	Jiong Xie, Shu Yin, Xiaojun Ruan, Zhiyang Ding, Yun Tian, James Majors, Adam Manzanares, Xiao Qin

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