MapReduce:Ordering and Large Scale Indexing in Large Cluster
Abstract: 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
How to Cite?: Iniyan Senthil Kumar.T, Poovaraghan.R, "MapReduce:Ordering and Large Scale Indexing in Large Cluster", Volume 7 Issue 2, February 2018, International Journal of Science and Research (IJSR), Pages: 398-401, https://www.ijsr.net/getabstract.php?paperid=ART201710015, DOI: https://dx.doi.org/10.21275/ART201710015