A New Way of Accelerating Web by Compressing Data with
Back Reference-prefer Geflochtener
Kushwaha Singh1, Challa
Krishna2, and Saini Kumar1
1Department
of Computer Science and Engineering, Rajasthan Technical University, India
2Department
of Computer Science and Engineering, India
Abstract: This research focused on the synthesis of an iterative approach to
improve speed of the web and also learning the new methodology to compress the
large data with enhanced backward reference preference. In addition, observations
on the outcomes obtained from experimentation, group-benchmarks compressions,
and time splays for transmissions, the proposed system have been analysed. This
resulted in improving the compression of textual data in the Web pages and with
this it also gains an interest in hardening the cryptanalysis of the data by
maximum reducing the redundancies. This removes unnecessary redundancies with
70% efficiency and compress pages with the 23.75- 35% compression ratio.
Keywords: Backward References, Shortest
Path Technique, HTTP, Iterative Compression, Web, LZSS and LZ77.
Received April 25, 2014; accepted August 13, 2014