MapReduce:Ordering and Large Scale Indexing in Large Cluster
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
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Research Paper | Computer Science & Engineering | India | Volume 7 Issue 2, February 2018

MapReduce:Ordering and Large Scale Indexing in Large Cluster

Iniyan Senthil Kumar.T, Poovaraghan.R

MapReduce is the program model and an association implementation for processing and generating large data sets. User specify a map function that process a key/value pair to generate a set of intermediate key/value pairs and a reduce function that merge all intermediate values associated with the same intermediate key. Our Implementation of MapReduce runs on a large cluster of commodity machines and is highly scalable, a typical MapReduce computation processes many terabytes of data of thousand machines

Keywords: MapReduce, Hadoop, Cluster, Large scale indexing, ordering

Edition: Volume 7 Issue 2, February 2018

Pages: 398 - 401

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How to Cite this Article?

Iniyan Senthil Kumar.T, Poovaraghan.R, "MapReduce:Ordering and Large Scale Indexing in Large Cluster", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART201710015, Volume 7 Issue 2, February 2018, 398 - 401

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