IEEE/ACM Transactions on Networking (TON)
Bandwidth estimation for multiplexed videos using multinomial model
Computer Communications
A new model for video traffic originating from multiplexed MPEG-4 videoconference streams
Performance Evaluation
Short Communication: On modeling multiplexed VBR videoconference traffic from H.263 video coders
Computer Communications
Pricing-based call admission control for wireless MPEG-4 traffic
Computer Communications
A study of H.263 traffic modeling in multipoint videoconference sessions over IP networks
Computer Communications
A comparison of AR full motion video traffic models in B-ISDN
Computers and Electrical Engineering
Short Communication: Modeling multiplexed traffic from H.264/AVC videoconference streams
Computer Communications
Correlation properties of the token leaky bucket departure process
Computer Communications
On the time scales in video traffic characterization for queueing behavior
Computer Communications
The study on statistical multiplexing of homogeneous VBR-MPEG video streams
Computer Communications
Interactive video over ATM: state of the art
Computer Communications
AR-based quadratic modeling for GOP MPEG-encoded video traffic in ATM networks
Computer Communications
Fair intelligent bandwidth allocation for rate-adaptive video traffic
Computer Communications
A new dynamic bandwidth allocation scheme for MPEG videos in ATM networks
Computer Communications
A refined version of M/G/∞ processes for modelling VBR video traffic
Computer Communications
Shifting-level process as a LRD video traffic model and related queuing results
Computer Communications
The analysis of a multiserver queue fed by a discrete autoregressive process of order 1
Operations Research Letters
Joint source and sending rate modeling in adaptive video streaming
Image Communication
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Source modeling and performance issues are studied using a long (30 min) sequence of real video teleconference data. It is found that traffic periodicity can cause different sources with identical statistical characteristics to experience differing cell-loss rates. For a single-stage multiplexer model, some of this source-periodicity effect can be mitigated by appropriate buffer scheduling and one effective scheduling policy is presented. For the sequence analyzed, the number of cells per frame follows a gamma (or negative binomial) distribution. The number of cells per frame is a stationary stochastic process. For traffic studies, neither an autoregressive model of order two nor a two-state Markov chain model is good because they do not model correctly the occurrence of frames with a large number of cells, which are a primary factor in determining cell-loss rates. The order two autoregressive model, however, fits the data well in a statistical sense. A multistate Markov chain model that can be derived from three traffic parameters is sufficiently accurate for use in traffic studies