Analysis of Big Video Data for Low Power Storage System
Mrs A. Sharmila Agnal1, Anushtup Muley2, Rohit Gupta3, Deepak Verma4, Swetha Umapathy5

1Mrs A. Sharmila Agnal, Assistant Professor, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
2Anushtup Muley, Student, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
3Rohit Gupta, Student, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
4Deepak Verma, Student, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
5Swetha Umapathy, Student, Department of CSE, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.

Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 691-695 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6223048419/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The developing prominence of modern gadgets, for example, hi-tech devices and various other devices have brought a great trend to this modern society. Due to the enumerated storage of big videos and also due to higher memory requirement which exhaust battery at a higher rate. We present aa paper which would tell about low storage mechanism by using and investigating meaningful Data patterns .A data pattern created in two–dimensional way to deal with investigate vertical and horizontal relationship between the attributes. This kind of relationship between the data’s and patterns is a recognizable proof empower another measurement regarding structural configuration area and convey self-recovery capacity for recollecting the bitcell failures
Keywords: Recordings, Information, Data Patterns, low-Control, Self-Recovery

Scope of the Article: Low-Power Design