Now days, Big Data applications are very frequently used. The immense use of these HEC machines
requires very quick I/O systems, processing and output generation. For such unprecedented quantity
of data, the input output process plays a very crucial role. This paper attempts to provide a relatively
faster I/O performing mechanism for HEC machines by combining the features of data compression and
strategies of flexible placement of analytics.
Real Time Impact Factor:
Pending
Author Name: Miss Shraddha Shrivastava, Mr. Anil Pimplapure, Mr. Prashant Sen
URL: View PDF
Keywords: Big Data, HEC Machines, Data Compression,Hadoop, MapReduce.
ISSN: 2455-6203
EISSN: 2455-6203
EOI/DOI:
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