Packet dispersion and the quality of voice over IP applications in IP networks

Zlatokrilov, Haim; Levy, Hanoch

doi:10.1109/infcom.2004.1357003

Cited by 15 publications

(9 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, for such values of δ the gain may again increase if the number of paths increases. Figures of these results are provided in [30].…”

Section: Nlrmentioning

confidence: 99%

“…In a thorough examination we conducted [30], the cases we examined demonstrate that under a vast range of network conditions, packet dispersion, both via random and periodic dispersion, can highly reduce the NLR in comparison to the traditional no-dispersion strategy. Only in a very small set of parameter ranges the no-dispersion strategy is superior to dispersion.…”

Section: Comparison Of the Dispersion Strategies Under The Gilbert Lomentioning

confidence: 99%

See 1 more Smart Citation

The effect of packet dispersion on voice applications in IP networks

Levy

Zlatokrilov

2006

IEEE/ACM Trans. Networking

Self Cite

View full text Add to dashboard Cite

Abstract-Delivery of real time streaming applications, such as voice and video over IP, in packet switched networks is based on dividing the stream into packets and shipping each of the packets on an individual basis to the destination through the network. The basic implicit assumption on these applications is that shipping all the packets of an application is done, most of the time, over a single path along the network. In this study we present a model in which packets of a certain session are dispersed over multiple paths, in contrast to the traditional approach. The dispersion may be performed by network nodes from various reasons such as load-balancing, or implemented as a mechanism to improve quality, as will be presented in this work. To study the effect of packet dispersion on the quality of Voice over IP (VoIP) applications , we focus on the effect of the network loss on the applications, where we propose to use the Noticeable Loss Rate (NLR) as a measure (negatively) correlated with the voice quality. We analyze the NLR for various packet dispersion strategies over paths experiencing memory-less (Bernoulli) or bursty (Gilbert model) losses, and compare them to each other. Our analysis reveals that in many situations the use of packet dispersion reduces the NLR and thus improves session quality. The results suggest that the use of packet dispersion can be quite beneficial for these applications 12 .

show abstract

“…However, for such values of δ the gain may again increase if the number of paths increases. Figures of these results are provided in [30].…”

Section: Nlrmentioning

confidence: 99%

Section: Comparison Of the Dispersion Strategies Under The Gilbert Lomentioning

confidence: 99%

The effect of packet dispersion on voice applications in IP networks

Levy

Zlatokrilov

2006

IEEE/ACM Trans. Networking

Self Cite

View full text Add to dashboard Cite

show abstract

“…& Anderson, T., 1999). In particular, packet dispersion is significantly beneficial to reduce the effect of high degree of burst loss (Zlatokrilov, H. & Levy, H., 2004). But compared to FEC, path diversity is a relatively costly solution, since it can incur more sudden changes in one-way delay (Tao, S., Xu, K., Estepa, A. et.…”

Section: Introductionmentioning

confidence: 99%

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

Roychoudhuri

Al-Shaer²

2010

International Journal of Adaptive, Resilient and Autonomic Systems

View full text Add to dashboard Cite

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.

show abstract

“…Some focus on encoding and streaming video for applications such as videoconferencing [21], [3], [22], [5], [8]. In general, streaming schemes try to address several key issues by using different mechanisms such as controlling error including retransmissions, added redundancy using forward error correction (FEC) [17], [25], [5], error concealment [3], [5] and error resilient video coding [17]. To improve streaming over best-effort networks, researchers also proposed several mechanisms including the use of content delivery networks [1], [20], [22], caching [7], [11], [2], patching [7], [8] and transcoding [10].…”

Section: Introductionmentioning

confidence: 99%