Inline De-Duplication for Video Streaming
E Prasanth Raja1, R Jebakumar2
1E Prasanth Raja, SRM Institute of Science & Technology, Kattankulathur (Tamil Nadu), India.
2R Jebakumar, SRM Institute of Science & Technology, Kattankulathur (Tamil Nadu), India.
Manuscript received on 21 May 2019 | Revised Manuscript received on 07 June 2019 | Manuscript Published on 15 June 2019 | PP: 257-261 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00590581S219/2019©BEIESP
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© 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: As the new technologies for collection of video data has emerged in all fields of work, data collection has reached its epic heights from past decade. Since the volume of video data is huge, the storage space needed to store the data also becomes tremendously large. Even though many technologies support the challenges to process the huge volume of video data, the cost for data storage becomes a drawback. Inline deduplication is proposedto save the space and to optimize the capacity. It reduces the number of data copies before writing it in to storage device. In current years, many concepts are introduced to reduce video data volume. Inline deduplication is used here to reduce memory and to increase the transmission speed of video. The main purpose of this paper is to survey various techniques and concepts involved indeduplicationin video streaming with its counter measurements for the past decade.
Keywords: Cloud Security, Searchable Encryption, Short Lived Keyword Search, Secrecy, Access Policy.
Scope of the Article: Streaming Data