Welcome to the InfoSci Platform
Autonomic QoS Optimization of Real-Time Internet Audio Using Loss Prediction and Stochastic Control

Autonomic QoS Optimization of Real-Time Internet Audio Using Loss Prediction and Stochastic Control

Lopamudra Roychoudhuri, Ehab S. Al-Shaer
Copyright: © 2010 |Volume: 1 |Issue: 3 |Pages: 27
ISSN: 1947-9220|EISSN: 1947-9239|EISBN13: 9781609609559|DOI: 10.4018/jaras.2010070105
Cite Article Cite Article

MLA

Roychoudhuri, Lopamudra, and Ehab S. Al-Shaer. "Autonomic QoS Optimization of Real-Time Internet Audio Using Loss Prediction and Stochastic Control." IJARAS vol.1, no.3 2010: pp.81-107. http://doi.org/10.4018/jaras.2010070105

APA

Roychoudhuri, L. & Al-Shaer, E. S. (2010). Autonomic QoS Optimization of Real-Time Internet Audio Using Loss Prediction and Stochastic Control. International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS), 1(3), 81-107. http://doi.org/10.4018/jaras.2010070105

Chicago

Roychoudhuri, Lopamudra, and Ehab S. Al-Shaer. "Autonomic QoS Optimization of Real-Time Internet Audio Using Loss Prediction and Stochastic Control," International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) 1, no.3: 81-107. http://doi.org/10.4018/jaras.2010070105

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Quality of Internet audio is highly sensitive to packet loss caused by congestion in links. Packet loss for audio is normally rectified by adding redundancy using Forward Error Correction (FEC). Alternatively, path diversity mechanisms are used to improve reliability and thus session quality. To achieve optimized receiver audio quality for transmissions using single or multiple paths, the authors propose a self-adaptive joint Error and Rate Control framework based on packet loss prediction and on-line quality assessment. The Error Control chooses appropriate FEC proactively to preserve quality with optimal bandwidth, using a Markov Decision Process (MDP) and a stochastic inventory control, a novel approach for multimedia error recovery. The Rate Control uses a quality optimization model to determine the optimal dispersion over single or multiple paths. This paper will present results using simulation and Internet experiments to show the superiority of this mechanism over other similar techniques.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.