IEICE TRANSACTIONS on Communications
Video Traffic Modeling by Truncated GeoY/G/∞ Input Process with Gamma-Distributed Batches Y
Summary :
In this letter, we propose a video traffic model based on a class of stochastic processes, which we call truncated GeoY/G/∞ input processes. Group of picture (GOP) size traces are modeled by truncated GeoY/G/∞ input process with gamma-distributed batch sizes Y and Weibull-like autocorrelation function. With full-length MPEG-4 video traces in QCIF, we run simulations to show that our proposed model estimates packet loss ratios at various traffic loads more accurately than existing modeling methods.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.9 pp.2980-2982
- Publication Date
- 2008/09/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.9.2980
- Type of Manuscript
- LETTER
- Category
- Fundamental Theories for Communications
Authors
Keyword
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Sang Hyuk KANG, Min Young CHUNG, Bara KIM, "Video Traffic Modeling by Truncated GeoY/G/∞ Input Process with Gamma-Distributed Batches Y" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 9, pp. 2980-2982, September 2008, doi: 10.1093/ietcom/e91-b.9.2980.
Abstract: In this letter, we propose a video traffic model based on a class of stochastic processes, which we call truncated GeoY/G/∞ input processes. Group of picture (GOP) size traces are modeled by truncated GeoY/G/∞ input process with gamma-distributed batch sizes Y and Weibull-like autocorrelation function. With full-length MPEG-4 video traces in QCIF, we run simulations to show that our proposed model estimates packet loss ratios at various traffic loads more accurately than existing modeling methods.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.9.2980/_p
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@ARTICLE{e91-b_9_2980,
author={Sang Hyuk KANG, Min Young CHUNG, Bara KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Video Traffic Modeling by Truncated GeoY/G/∞ Input Process with Gamma-Distributed Batches Y},
year={2008},
volume={E91-B},
number={9},
pages={2980-2982},
abstract={In this letter, we propose a video traffic model based on a class of stochastic processes, which we call truncated GeoY/G/∞ input processes. Group of picture (GOP) size traces are modeled by truncated GeoY/G/∞ input process with gamma-distributed batch sizes Y and Weibull-like autocorrelation function. With full-length MPEG-4 video traces in QCIF, we run simulations to show that our proposed model estimates packet loss ratios at various traffic loads more accurately than existing modeling methods.},
keywords={},
doi={10.1093/ietcom/e91-b.9.2980},
ISSN={1745-1345},
month={September},}
Copy
TY - JOUR
TI - Video Traffic Modeling by Truncated GeoY/G/∞ Input Process with Gamma-Distributed Batches Y
T2 - IEICE TRANSACTIONS on Communications
SP - 2980
EP - 2982
AU - Sang Hyuk KANG
AU - Min Young CHUNG
AU - Bara KIM
PY - 2008
DO - 10.1093/ietcom/e91-b.9.2980
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2008
AB - In this letter, we propose a video traffic model based on a class of stochastic processes, which we call truncated GeoY/G/∞ input processes. Group of picture (GOP) size traces are modeled by truncated GeoY/G/∞ input process with gamma-distributed batch sizes Y and Weibull-like autocorrelation function. With full-length MPEG-4 video traces in QCIF, we run simulations to show that our proposed model estimates packet loss ratios at various traffic loads more accurately than existing modeling methods.
ER -
English
