Implementation Of Cloud Based File Management System [CFMS] For Affording Distributed Warehouse Service

Kesavaraja, D.; Suthan, A.; Sasireka, D.; Jeyabharathi, D.

doi:10.26634/jfet.6.2.1323

Cited by 1 publication

(1 citation statement)

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“…Cloud computing that shares resources as services to the user comes as a boon in such times of difficulty [38] [39][40] [41]. The resources can be used in various metered way of access like hour based or day based and also is scalable as per the requirements of the user[l].…”

Section: Dra Shenbagavallimentioning

confidence: 99%

Hadoop scalable Video Transcoding technique in cloud environment

Kesavaraja¹,

Shenbagavalli²

2015

2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO)

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Nowadays video is being produced and consumed in more component representation formats, more device types and over a variety of networks than ever. Transmission of video through network takes more time. So Video Transcoding is a very important factor when the video is moved between various heterogeneous clients in the cloud environment. Transcoding is a process of translating one coded form of video into another. However most of the time transcoding becomes computationally intensive and time consuming process. This proposed cloud system has four of the video compression standards such as Low Quality Encoding , Standard Quality Encoding , High Quality Encoding and High Definition. These standards achieve better compression performance with Quality. In general compression process takes more time. Map Reduce is used for managing a work in a considerable short period of time. This in turn helps in faster and efficient video transcoding. These Four standards are embedded into the Hadoop Distributed File System implementation and trial runs were done. Using the HDFS Map Reduce functionality, the video is splited using 64 MB blocks (Segments of Streams) and processed separately for maintaining efficiency in a time based aspect. Index Terms-Cloud Computing, Video Encoding, Hadoop, Map Reduce, FFMPEG 978-1-4799-6480-2/15/$31.00

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Section: Dra Shenbagavallimentioning

confidence: 99%