Dictionary Based Compression using Bit Wise Technique for Cloud Migration
In era of cloud computing, data migration is an important issue to minimize cost and time incurred to transmit the data across the network. Data compression is a technique that helps to significantly reduce the transmission time and thus reducing cost. In this paper, a new dictionary-based compression algorithm using bit wise technique has been introduced. The algorithm constitutes two dictionaries, primary dictionary (Static) and secondary dictionary (Dynamic). The data to be transmitted is first divided into chunks of fixed size(16K) and then transmitted after compression along with secondary dictionary. The proposed algorithm will conduce to reduce the number of data packets that needs to be transmitted with better bandwidth utilization thereby augmenting the transmission rate of data.
Keywords: Cloud computing, Virtual machine migration, Compression, Decompression
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ABOUT THE AUTHORS
Shivam Saini
Currently pursuing Bachelor of Technology in Computer Science and Engineering from Guru Nanak Dev University, Amritsar, India. His research interests include cloud computing and data analytics.
Shivani Pathak
Currently pursuing Bachelor of Technology in Computer Science and Engineering from Guru Nanak Dev University, Amritsar, India. Her research interests include cloud computing and IOT.
Sandeep Sharma
Received Ph. D. in Parallel Processing in 2010 from Guru Nanak Dev University, Amritsar, India. He is a professor and Head of the Department of Department of Computer Engineering and Technology at Guru Nanak Dev University. His research interests include Parallel and Cloud Computing, Big Data and Data Sciences. He is a member of Expert Committee to evaluate ongoing Major Research Projects for Sciences, Engineering & Technology by UGC (2017).
Shivam Saini
Currently pursuing Bachelor of Technology in Computer Science and Engineering from Guru Nanak Dev University, Amritsar, India. His research interests include cloud computing and data analytics.
Shivani Pathak
Currently pursuing Bachelor of Technology in Computer Science and Engineering from Guru Nanak Dev University, Amritsar, India. Her research interests include cloud computing and IOT.
Sandeep Sharma
Received Ph. D. in Parallel Processing in 2010 from Guru Nanak Dev University, Amritsar, India. He is a professor and Head of the Department of Department of Computer Engineering and Technology at Guru Nanak Dev University. His research interests include Parallel and Cloud Computing, Big Data and Data Sciences. He is a member of Expert Committee to evaluate ongoing Major Research Projects for Sciences, Engineering & Technology by UGC (2017).
