Using adaptive linear prediction to support real-time VBR video under RCBR network service model

Adas, A.

doi:10.1109/90.731200

Cited by 179 publications

(106 citation statements)

References 14 publications

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“…In order to solve this problem, we consider the Normalized Least Mean Square (NLMS) predictor (Hayes, 1996;Haykin, 1991), which is based on an adaptive approach. It does not require prior knowledge of the autocorrelation structure of a sequence (Haykin, 1991;Adas, 1998). Therefore, it can be used as an on-line technique for predicting.…”

Section: Prediction Algorithmmentioning

confidence: 99%

“…The time series prediction is well investigated and many predictors have been proposed in control systems (Garroppo et al, 2011;Hayes, 1996;Haykin, 1991;Mishra et al, 1996;Adas, 1998;Garroppo et al, 2008). Among these predictors, the linear predictors can provide low complexity as well as high accuracy and responsiveness (Garroppo et al, 2008).…”

Section: Prediction Algorithmmentioning

confidence: 99%

“…and the inversion of a p xp matrix. These facts make LMMSE unsuitable for being used as an on-line technique for predicting (Adas, 1998). In order to solve this problem, we consider the Normalized Least Mean Square (NLMS) predictor (Hayes, 1996;Haykin, 1991), which is based on an adaptive approach.…”

Section: Prediction Algorithmmentioning

confidence: 99%

“…Note that at time t, the value of Zt+fe is not available to compute £[. Thus et_fe is used instead (Adas, 1998), and the one-step NLMS predictor update equation becomes:…”

Section: Prediction Algorithmmentioning

confidence: 99%

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Probe-based end-to-end overload control for networks of SIP servers

Wang

Liao

et al. 2014

Journal of Network and Computer Applications

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The Session Initiation Protocol (SIP) has been adopted by the IETF as the control protocol for creating, modifying and terminating multimedia sessions. Overload occurs in SIP networks when SIP servers have insufficient resources to handle received messages. Under overload, SIP networks may suffer from congestion collapse due to current ineffective SIP overload control mechanisms. This paper introduces a probe-based end-to-end overload control (PEOC) mechanism, which is deployed at the edge servers of SIP networks and is easy to implement. By probing the SIP network with SIP messages, PEOC estimates the network load and controls the traffic admitted to the network according to the estimated load. Theoretic analysis and extensive simulations verify that PEOC can keep high throughput for SIP networks even when the offered load exceeds the capacity of the network. Besides, it can respond quickly to the sudden variations of the offered load and achieve good fairness.

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Section: Prediction Algorithmmentioning

confidence: 99%

Section: Prediction Algorithmmentioning

confidence: 99%

Section: Prediction Algorithmmentioning

confidence: 99%

“…Note that at time t, the value of Zt+fe is not available to compute £[. Thus et_fe is used instead (Adas, 1998), and the one-step NLMS predictor update equation becomes:…”

Section: Prediction Algorithmmentioning

confidence: 99%

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Probe-based end-to-end overload control for networks of SIP servers

Wang

Liao

et al. 2014

Journal of Network and Computer Applications

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“…A linear predictive filter (LPF) [3] estimates the likely available bandwidth based on monitoring the history of prior availability of bandwidth to the IPTV sub-channel. It is important to realize that in our experiments the wireless channel is not modeled directly by the fourstate Markov model.…”

Section: Introductionmentioning

confidence: 99%

Allocation of IPTV streams over broadband wireless through fuzzy logic control

Razavi

Fleury

Ghanbari

et al. 2009

2009 IEEE Symposium on Computers and Communications

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Dynamic bandwidth allocation and buffer dimensioning under equal segment scheme to support video‐on‐demand services

Zhang

2001

Int J Communication

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SUMMARYThis paper focuses on the optimization of network bandwidth allocation and bu!er dimensioning to transport pre-stored MPEG video data from source to playback destination across ATM networks. This is one of the most important issues in the support of video-on-demand (VoD) service. This paper provides a novel scheme in the dynamic allocation of bandwidth to segments of video using ABR mode. The dynamic bandwidth allocation is based on a new concept, called playback tunnel which is obtained from the tra$c characteristics of the pre-stored MPEG video trace to determine the optimum of transmission bandwidth as well as the bu!er capacity to ensure that the playback bu!er neither under#ows nor over#ows. The proposed scheme is tested with real-life MPEG video traces. The obtained results have shown its signi"cant performance improvement in terms of the capacity of playback bu!er, the start-up playback delay, the size of video segment and the network multiplexing gain.

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Using adaptive linear prediction to support real-time VBR video under RCBR network service model

Cited by 179 publications

References 14 publications

Probe-based end-to-end overload control for networks of SIP servers

Probe-based end-to-end overload control for networks of SIP servers

Allocation of IPTV streams over broadband wireless through fuzzy logic control

Dynamic bandwidth allocation and buffer dimensioning under equal segment scheme to support video‐on‐demand services

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