Wireless Traffic Modeling and Prediction Using Seasonal ARIMA Models
Summary :
Seasonal ARIMA model is a good traffic model capable of capturing the behavior of a network traffic stream. In this paper, we give a general expression of seasonal ARIMA models with two periodicities and provide procedures to model and to predict traffic using seasonal ARIMA models. The experiments conducted in our feasibility study showed that seasonal ARIMA models can be used to model and predict actual wireless traffic such as GSM traffic in China.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E88-B No.10 pp.3992-3999
- Publication Date
- 2005/10/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietcom/e88-b.10.3992
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Keyword
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Yantai SHU, Minfang YU, Oliver YANG, Jiakun LIU, Huifang FENG, "Wireless Traffic Modeling and Prediction Using Seasonal ARIMA Models" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 10, pp. 3992-3999, October 2005, doi: 10.1093/ietcom/e88-b.10.3992.
Abstract: Seasonal ARIMA model is a good traffic model capable of capturing the behavior of a network traffic stream. In this paper, we give a general expression of seasonal ARIMA models with two periodicities and provide procedures to model and to predict traffic using seasonal ARIMA models. The experiments conducted in our feasibility study showed that seasonal ARIMA models can be used to model and predict actual wireless traffic such as GSM traffic in China.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.10.3992/_p
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@ARTICLE{e88-b_10_3992,
author={Yantai SHU, Minfang YU, Oliver YANG, Jiakun LIU, Huifang FENG, },
journal={IEICE TRANSACTIONS on Communications},
title={Wireless Traffic Modeling and Prediction Using Seasonal ARIMA Models},
year={2005},
volume={E88-B},
number={10},
pages={3992-3999},
abstract={Seasonal ARIMA model is a good traffic model capable of capturing the behavior of a network traffic stream. In this paper, we give a general expression of seasonal ARIMA models with two periodicities and provide procedures to model and to predict traffic using seasonal ARIMA models. The experiments conducted in our feasibility study showed that seasonal ARIMA models can be used to model and predict actual wireless traffic such as GSM traffic in China.},
keywords={},
doi={10.1093/ietcom/e88-b.10.3992},
ISSN={},
month={October},}
Copy
TY - JOUR
TI - Wireless Traffic Modeling and Prediction Using Seasonal ARIMA Models
T2 - IEICE TRANSACTIONS on Communications
SP - 3992
EP - 3999
AU - Yantai SHU
AU - Minfang YU
AU - Oliver YANG
AU - Jiakun LIU
AU - Huifang FENG
PY - 2005
DO - 10.1093/ietcom/e88-b.10.3992
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2005
AB - Seasonal ARIMA model is a good traffic model capable of capturing the behavior of a network traffic stream. In this paper, we give a general expression of seasonal ARIMA models with two periodicities and provide procedures to model and to predict traffic using seasonal ARIMA models. The experiments conducted in our feasibility study showed that seasonal ARIMA models can be used to model and predict actual wireless traffic such as GSM traffic in China.
ER -
English
