DocumentCode :
3781776
Title :
Experiences on a Video Management Cloud Based on Hadoop
Author :
Weishan Zhang;Ning Wang;Qinghua Lu;Su Yang
Author_Institution :
Dept. of Software Eng., China Univ. of Pet., Qingdao, China
fYear :
2015
Firstpage :
950
Lastpage :
955
Abstract :
Streaming video data grows rapidly with the massive deployment of surveillance cameras, transportation monitoring and other purposes. Therefore how to deal with the increasing scale of streaming data, for example video data storage, video playing and manipulation are challenging due to the big volume of the video data. This paper presents a massive video data management system which based on Hadoop distributed cloud platform with Linux clusters. We build a video management cloud with J2EE, Red5 streaming technology. A user-friendly interface for managing the streaming media data is implemented. It allows easy expansion of storage capacity. We have evaluated the video cloud for extensibility, performance, and shows that it can satisfy the streaming media data storage management requirements.
Keywords :
"Streaming media","Cloud computing","Web servers","Computer architecture","Cameras","Distributed databases"
Publisher :
ieee
Conference_Titel :
Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015 IEEE 12th Intl Conf on
Type :
conf
DOI :
10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.180
Filename :
7518359
Link To Document :
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