1993
DOI: 10.1109/90.251897
|View full text |Cite
|
Sign up to set email alerts
|

A histogram-based model for video traffic behavior in an ATM multiplexer

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
65
0
1

Year Published

1999
1999
2016
2016

Publication Types

Select...
5
4
1

Relationship

0
10

Authors

Journals

citations
Cited by 165 publications
(66 citation statements)
references
References 13 publications
0
65
0
1
Order By: Relevance
“…Ryu and Elwalid [28] showed that short term correlations have dominant influence on the network performance under realistic scenarios of buffer sizes for real-time traffic. Based on these previous works we argue that the MMPP may be a practical model to derive approximate results for the queuing behavior of long range dependent traffic such as real-time VBR video, especially in the case of small buffer sizes [29].…”
Section: Model Descriptionmentioning
confidence: 99%
“…Ryu and Elwalid [28] showed that short term correlations have dominant influence on the network performance under realistic scenarios of buffer sizes for real-time traffic. Based on these previous works we argue that the MMPP may be a practical model to derive approximate results for the queuing behavior of long range dependent traffic such as real-time VBR video, especially in the case of small buffer sizes [29].…”
Section: Model Descriptionmentioning
confidence: 99%
“…The MMPP model has been shown to be effective in representing many types of multimedia traffic, including voice [23], MPEG video [24], and general data [25]. We apply the MMPP model for all the traffic flows in the system (note that the Poisson model is a special case of the MMPP model).…”
Section: Mmpp Trafficmentioning
confidence: 99%
“…On average, an on-state lasts 10 frames and an off-state lasts 15 frames. The video traffic can be modeled by a Markov-modulated Poisson process (MMPP) [18]. Here, to be able to calculate the conditional rate distribution, we use a simplified MMPP model with four states.…”
Section: The Simulation Environmentmentioning
confidence: 99%