Cloud-based Adaptive Video Streaming: Content Storage vs. Transcoding Optimization Methods
Konrad Karolewicz , Andrzej Bęben
AbstractThe paper proposes provisioning methods for VoD service providers offering adaptive video streaming in a cloud environment. Our methods minimize costs paid by VoD provider thanks to rational use of on the fly video transcoding service which eliminates storage cost of rarely requested video profiles. In the paper, we formulate provisioning problem, propose optimization and heuristic methods that determine the best tradeoff between content storage and transcoding. The results of performance evaluation confirmed that proposed methods can significantly reduce costs paid by VoD providers.
|Publication size in sheets||0.3|
|Book||Proceedings of the 22nd IEEE Symposium on Computers and Communications - ISCC'2017, 2017, Institute of Electrical and Electronics Engineers, ISBN 978-1-5386-1629-1, [ 978-1-5386-1628-4, 978-1-5386-1630-7], 1390 p.|
|Keywords in English||Multimedia Cloud Services; Adaptive Video Streaming; Provisioning Methods|
|Project||The Develpment of Digital Communicatios. Project leader: Siuzdak Jerzy,
, Phone: +48 22 234-7868, start date 11-04-2016, end date 31-12-2017, IT/2016/statut, Completed
|Score||= 70.0, 25-02-2020, ChapterFromConference|
|Publication indicators||= 2; = 2; = 4.0|
|Citation count*||4 (2020-05-06)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.