DocumentCode
1744131
Title
Control challenges in multi-level adaptive video streaming
Author
McNamee, Dylan ; Krasic, Charles ; Li, Kang ; Goel, Ashvin ; Walthinsen, Erik ; Steere, David ; Walpole, Jonathan
Author_Institution
Dept. of Comput. Sci. & Eng., Oregon Graduate Inst. of Sci. & Technol., Portland, OR, USA
Volume
3
fYear
2000
fDate
2000
Firstpage
2228
Abstract
Streaming video is one of the fastest-growing applications of the Internet. The Internet´s diversity and dynamism demands that video streams adapt to ensure maximum quality at all times. This paper describes the control challenges we have encountered in the Quasar project´s “multi-level” adaptive streaming video player. We first describe the framework and environment of the player. This framework uses software feedback to control resource allocation as well as the quality of media delivery. We present the control challenges raised by our framework which include horizontal and vertical feedback composition, difficult to model systems, and unpredictable, nonlinear actuators. We describe some of the approaches we are taking to address these challenges, related work, and future application areas and the challenges they will raise
Keywords
Internet; adaptive systems; feedback; nonlinear control systems; resource allocation; video servers; Internet; Quasar; adaptive streaming video player; horizontal feedback composition; media delivery quality; multilevel adaptive video streaming; resource allocation control; software feedback; unpredictable nonlinear actuators; vertical feedback composition; Adaptive control; Decoding; Feedback control; Internet; Network servers; Pipelines; Programmable control; Resource management; Streaming media; Video sharing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location
Sydney, NSW
ISSN
0191-2216
Print_ISBN
0-7803-6638-7
Type
conf
DOI
10.1109/CDC.2000.914128
Filename
914128
Link To Document