Cover page and Table of Contents: PDF (size: 305KB)
Full Text (PDF, 305KB), PP.1-8
Views: 0 Downloads: 0
Mobile Data Challenge, ShortBWT, SMAZ, Compression, Anamorphic Stretch Transform
The usability of Mobile devices and portable computers has been increased very rapidly. The main focus of modern research is to handle the big data in Mobile and pervasive computing. This paper gives an overview of Mobile Data Challenge which was a smart phone based research done by Nokia through Lausanne Data Collection Campaign. The Mobile Data Challenge was introduced when the amount of mobile data was seen to be increased very much in a short period of time. The rise of big data demands that this data can be accessed from everywhere and anytime. For handling such a huge amount of data e.g. SMS, images, videos etc, this data must be compressed for easy transmission over the network. It also helps in reducing the storage requirements. There are various techniques for the compression of data that are discussed in this paper. SMAZ and ShortBWT techniques are used to compress SMS. JPEG and Anamorphic Stretch Transform are used to compress the images.
PankajDeep Kaur, Sandeep Kaur, Amneet Kaur,"Big Data Compression in Mobile and Pervasive Computing", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.6, No.3, pp.1-8, 2016. DOI: 10.5815/ijwmt.2016.03.01
Juha K. Laurila, Daniel Gatica-Perez, Imad Aad, Jan Blom, Olivier Bornet, Trinh-Minh-Tri Do, Olivier Dousse, Julien Eberle, Markus Miettinen " The Mobile Data Challenge: Big Data for Mobile Computing Research" in 2012.
Pankaj Bhaskar and Sheikh I Ahamed "Privacy in Pervasive Computing and Open Issues" in Proceedings of the International Conference on Availability, Reliability and Security (AReS), IEEE CS Press, Vienna, Austria, April 2007.
Bo Li and Prof. Raj Jain "Survey of Recent Research Progress and issues in Big Data" in 2013.
Minos Garofalakis, Kurt P. Brown, Michael J. Franklin, Joseph M. Hellerstein, Daisy Zhe Wang, Eirinaios Michelakis, Liviu Tancau, Eugene Wu, Shawn R. Jeffery, Ryan Aipperspach, "Probabilistic Data Management for Pervasive Computing: The Data Furnace Project" in 2006.
Mohammad H. Asghari, and Bahram Jalali" Discrete Anamorphic Transform for Image Compression" in May 27-31, 2014
Paul Gardner-Stephen, Andrew Bettison, Romana Challans, Jennifer Hampton, Jeremy Lakeman, Corey Wallis " Improving Compression of Short Messages" in May, 2013
A.M.Raid, W.M.Khedr, M. A. El-dosuky and Wesam Ahmed "Jpeg Image Compression Using Discrete CosineTransform - A Survey" in April 2014
Radu R¸ADESCU "Transform Methods Usedin Lossless Compression of Text Files" in 2009.
Juergen ABEL "Improvements to the Burrows-Wheeler Compression Algorithm: After BWT Stages"