A Survey On Distributed Video Management Cloud Platform Using Hadoop
نویسندگان
چکیده
This paper presents the literature review on distributed video management cloud platform using Hadoop. Due to complexities of big video data management, such as immense processing of large amount of video data to do a video summary, it is challenging to effectively and efficiently store and process these video data in a user friendly way. Based on the parallel processing and flexible storage capabilities of cloud computing, in this paper we are discussing practical massive video management platform using Hadoop [1], which can achieve a fast video processing (such as video summary, encoding, and decoding) using MapReduce, with good usability, performance, and availability. Red5 streaming media server is used to get video stream from Hadoop distributed file system, and Flex is used to play video in browsers. A user-friendly interface is designed for managing the whole platform in a browser server style using J2EE. In addition, we discuss some related work and compare it with our surveyed work. In addition to presenting these works, we also discuss possible extensions. Keywords— Hadoop, J2EE, video processing, MapReduce, video
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تاریخ انتشار 2016