• Dr. Archana Sharma
• Ms. Shweta Singh

With the advancement of mobile network technologies (4G/3G) and with an efficient mobile network infrastructure, huge volume of mobile data may be accessed. Hence, due to such a high growth in the mobile industry, research is being pushed to study how big data processing could be achieved among mobile phones since the number of users accessing data is growing with time. Large data storage are required to serve high volume transactions of data each day when users request data. Hence intelligent methods are needed to solve the insufficient data storage experienced by certain providers. This research elaborates and compares big data technologies which would be deployed in mobile devices and have been shifting towards mobile cloud computing. With new technologies and tools coming to sort big data problems, this paper would help in identifying better options for big data processing on mobile cloud.

Hadoop, MapReduce, MCC, HDFS, Spark, Hyrax, Big Data

"Mobile Cloud: Comparative study of Big Data accessing Technologies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.47-53, February-2019, Available :http://www.jetir.org/papers/JETIR1902706.pdf

"Mobile Cloud: Comparative study of Big Data accessing Technologies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp47-53, February-2019, Available at : http://www.jetir.org/papers/JETIR1902706.pdf