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Hadoop is an opensource implementation of MapReduce, and a Hadoop cluster can be made up of thousands of commodity computers.
Large supercomputers are built today using thousands of commodity components, and suffer from poor reliability due to frequent component failures.
Therefore, a parallel computing framework called MapReduce [21] was designed by Google which allows using thousands of commodity machines in parallel.
BigTable is based on the Google File System (GFS) and designed for distribution across thousands of commodity servers that collectively store petabytes of data.
Therefore, distributed computing platforms based on MapReduce paradigm, which uses thousands of commodity machines to process and analyze huge datasets, are emerging as the best solution for growing genomics data.
Hadoop is composed of a computational part known as MapReduce which processes very large datasets in a distributed manner, and storage part known as hadoop distributed file system (HDFS) which stores data across thousands of commodity machines [7].
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Mr. Resnick is head of commodity trading.
Forget the regulation of commodity prices.
Board of Trade, Organized market for the exchange of commodity contracts (see commodity exchange).
The currencies of commodity producers, he says, should follow commodity prices.
He noted that commodity prices tended to be more volatile than the shares of commodity producers.
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