Big Data Gears:The Data Accelator For Large Data In Mobile Networks

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Mr. Virat R Jani, Prof. Ashutosh A. Abhangi

Abstract

BigData management is merely concerned with the large-scale data, generated from the cloud, mobile computing, media accessing and many more. Based on the research survey, such as BigCache, which emphasizes on efficiently serve the data to the end-user by provisioning the large cached data at local site, thereby to benefit effective bandwidth utilization, low server load and rapid data access at low cost. To extend this work, we would like to incorporate the notion of data gears in BigData management, to accelerate the large data access in mobile networks, which consist of the small size portable devices with mobility and low resources. These lead to the many challenges such as small cache, bandwidth management, power consumption, data sharing, secured access and so no. We mainly focus on the data access and bandwidth level in BigData through providing 'Gear Architecture' for the flexibility, portability and interchangeability of the various components in BigData over mobile networks. We will target to improve the utilization through proposing data access techniques in extended ranges using BigData analytic as a Gear.

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How to Cite
, M. V. R. J. P. A. A. A. (2018). Big Data Gears:The Data Accelator For Large Data In Mobile Networks. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(4), 417–420. Retrieved from http://ijfrcsce.org/index.php/ijfrcsce/article/view/1539
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