Title :
CloudStream: Delivering high-quality streaming videos through a cloud-based SVC proxy
Author :
Huang, Zixia ; Mei, Chao ; Li, Li Erran ; Woo, Thomas
Author_Institution :
Dept. of Comput. Sci., Univ. of Illinois, Urbana, IL, USA
Abstract :
Existing media providers such as YouTube and Hulu deliver videos by turning it into a progressive download. This can result in frequent video freezes under varying network dynamics. In this paper, we present CloudStream: a cloud-based video proxy that can deliver high-quality streaming videos by transcoding the original video in real time to a scalable codec which allows streaming adaptation to network dynamics. The key is a multi-level transcoding parallelization framework with two mapping options (Hallsh-based Mapping and Lateness-first Mapping) that optimize transcoding speed and reduce the transcoding jitters while preserving the encoded video quality. We evaluate the performance of CloudStream on our campus cloud testbed.
Keywords :
media streaming; video coding; CloudStream; Hallsh-based mapping; Hulu; YouTube; cloud-based SVC proxy; cloud-based video proxy; high-quality streaming videos; lateness-first mapping; multilevel transcoding parallelization framework; network dynamics; video transcoding; Jitter; Parallel processing; Static VAr compensators; Transcoding; Upper bound; Videos;
Conference_Titel :
INFOCOM, 2011 Proceedings IEEE
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9919-9
DOI :
10.1109/INFCOM.2011.5935009