A comparative study of lossless data compression algorithms
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Department of Computer Science and Information Technology
Abstract
Data Compression is the method for minimizing the resources allocated by reducing
size of the files. Data Compression is widely required in the era of information
communication technology as it is useful for processing, storing and transferring data
that requires lots of resources. There are lots of data compression algorithms which
are available to compress files of different format. This dissertation is basically
concerned with lossless data compression algorithms namely gzip and bzip2 and
performance of these algorithms is analyzed and compared. The performance
parameters are comparison ratio, comparison speed, saving percentage,
decompression speed. For more reliability text data of different file format is
considered for study. With the help of performance parameters, this dissertation is
concluded by stating which algorithm performs well for text data.