DocumentCode
1976542
Title
Building cloud-ready video transcoding system for Content Delivery Networks (CDNs)
Author
Zhenyun Zhuang ; Chun Guo
Author_Institution
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2012
fDate
3-7 Dec. 2012
Firstpage
2048
Lastpage
2053
Abstract
Video streaming traffic of both VoD (Video on Demand) and Live is exploding. Various types of businesses and many people are relying on video streaming to attract customers/users and for other purposes. Given the vast number of video stream formats (e.g., MP4, FLV) and transmission protocols (e.g., HTTP, RTMP, RTSP) for supporting varying types of playback terminals (particularly mobile devices such as iphone/ipad and Android phones), video content providers often need to transcode videos to multiple formats in order to stream to different types of users. Being time-sensitive and requiring high bandwidth, video streaming exerts high pressure on underlying delivery networks. Content Delivery Network (CDN) providers can help their customers quickly and reliably distribute stream contents to end users. In addition to distributing video streams, CDN providers typically allow their customers to perform video transcoding on CDN platforms. With the high volume of video streams and the bursty transcoding workload, CDN providers are eager to deploy elastic and optimized cloud-based transcoding platforms. In this paper, we design and build such a transcoding platform.
Keywords
cloud computing; transport protocols; video coding; video on demand; video streaming; CDN; FLV format; HTTP; MP4 format; RTMP; RTSP; VoD; cloud-based transcoding platform; cloud-ready video transcoding system; content delivery network; transmission protocol; video on demand; video streaming traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location
Anaheim, CA
ISSN
1930-529X
Print_ISBN
978-1-4673-0920-2
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2012.6503417
Filename
6503417
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