A New Way of Accelerating Web by Compressing Data with Back Reference-Prefer Geflochtener
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.
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[17] Zopfli Compression Algorithm-Google Project Hosting, https://code.google.com/p/zopfli/downloads/list, Last Visited 2014. Satpal Kushwaha is an Associate Professor, at MITRC, Alwar (Rajasthan). He has done his M.Tech. from RTU, Kota, B.E. from University of Rajasthan, Jaipur. He has 8 years of teaching and research experience. His research interests are Information Security, Network Security and Big Data. Rama Challa is Professor, at NITTTR, Chandigarh. He has done his Ph.D. from IIT Kharagpur, M.Tech. from CUSAT, Cochin and B. Tech from JNTU, Hyderabad. He has 18 years of teaching and research experience. His research interests are Wireless Networks, Distributed Computing, Cryptography, and Network Security. Hemant Saini is pursuing M. Tech in Computer Science and Engineering from Rajasthan Technical University, Kota. He is a Red hat Certified Engineer. He has completed his B. Tech in Information Technology from MLV Government Textile and Engineering College. He is having 2 years of industrial experience and one year of academic experience. His research interests are Computer Network and Security, Wireless Networks.