The Hadoop Distributed File System (HDFS) is designed to store very large data sets
reliably, and to stream those data sets at high bandwidth to user applications. In a large …

Our world is being revolutionized by data-driven methods: access to large amounts of data
has generated new insights and opened exciting new opportunities in commerce, science …

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

Hadoop is a popular open-source implementation of MapReduce for the analysis of large
datasets. To manage storage resources across the cluster, Hadoop uses a distributed user …

In the last few days, data and the internet have become increasingly growing, occurring in
big data. For these problems, there are many software frameworks used to increase the …

Hadoop distributed file system (HDFS) becomes a representative cloud storage platform,
benefiting from its reliable, scalable and low-cost storage capability. HDFS has been utilized …

Hadoop distributed file system (HDFS) is widely adopted to support Internet services.
Unfortunately, native HDFS does not perform well for large numbers but small size files …

With the development of computer technology, there is a tremendous increase in the growth
of data. Scientists are overwhelmed with this increasing amount of data processing needs …

Hadoop Distributed file System is used for processing, storing and analyzing very large
amount of unstructured data. It stores the data reliably and provides fault tolerance, fast and …

Data-intensive applications fall into two computing styles: Internet services (cloud
computing) or high-performance computing (HPC). In both categories, the underlying file …