Sponsor
This project was supported in part by DARPA contracts/grants N66001-97-C-8522, N66001-97-C-8523, and F19628-95-C-0193, and by Tektronix, Inc. and Intel Corporation.
Document Type
Post-Print
Publication Date
12-2000
Subjects
Streaming video, Multimedia systems, Self-adaptive software, Feedback control systems -- Design and construction
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, non-linear 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.
Persistent Identifier
http://archives.pdx.edu/ds/psu/10403
Citation Details
"Control Challenges in Multi-Level Adaptive Video Streaming," Dylan McNamee, Charles Krasic, Kang Li, Ashvin Goel, David Steere, and Jonathan Walpole, in Proceedings of the 39th IEEE Conference on Decision and Control (CDC2000), Harbour, Australia, December 12-15, 2000.
Description
Author's version of an article published in Proceedings of the 39th IEEE Conference on Decision and Control, 2000 (Volume 3). The definitive version of this work can be found at http://ieeexplore.ieee.org. Digital Object Identifier : 10.1109/CDC.2000.914128.