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ACCELERATING DATA-INTENSIVE COMPUTATIONS THROUGH DYNAMIC NETWORK TRAFFIC OPTIMIZATION
Hadoop has been emerging as a popular distributed framework for data intensive computing in clustered environments. The main usage has been in parallel computing problems where interconnected clusters would transfer parts ...
AN EVALUATION OF THE SPARK PROGRAMMING MODEL FOR BIG DATA ANALYTICS
The focus of companies like Google, Amazon etc. is to gain competitive business advantage from the insights drawn by processing petabytes of data. Big Data refers to data characterized by large volume, great variety, and ...