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Rhine et al., 2016 - Google Patents

Locality aware mapreduce

Rhine et al., 2016

Document ID
16381993696496810088
Author
Rhine R
Bhuvan N
Publication year
Publication venue
Innovations in Bio-Inspired Computing and Applications: Proceedings of the 6th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2015) held in Kochi, India during December 16-18, 2015

External Links

Snippet

The large amount of data produced need to be processed properly. This can be done using Apache Hadoop, which is an open source software library. HDFS and MapReduce are the two core components of Apache Hadoop. The overall performance can be increased by …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • G06F9/5066Algorithms for mapping a plurality of inter-dependent sub-tasks onto a plurality of physical CPUs
    • GPHYSICS
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