The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article étudie l'utilisation d'incitations tarifaires pour déplacer la demande de bande passante des périodes de pointe vers les périodes hors pointe. En particulier, les réductions de coûts diminuent à mesure que la consommation mensuelle de pointe augmente. Nous prenons en compte la sensibilité aux délais des différentes applications : pendant les heures de pointe, l'utilisation d'applications en temps réel dur (HRAS) n'est pas comptabilisée dans le plafond de données mensuel de l'utilisateur, tandis que l'utilisation d'autres applications (OAS) est comptabilisée dans le plafond de données mensuel de l'utilisateur. plafond de données mensuel. Par conséquent, les utilisateurs peuvent volontairement retarder ou abandonner la SV afin d’obtenir une réduction sur les frais plus élevée. Ensuite, un nouvel algorithme de contrôle du débit est proposé. L'algorithme attribue le débit de données en fonction de la priorité de la source, qui est déterminée par deux facteurs : (I) le débit de données alloué ; et (II) le temps d'attente.
Zhentian WU
Guangdong Electric Power Communication Technology Co., Ltd.
Feng YAN
Changsha Nonferrous Metallurgy Design and Research Institute Co., Ltd.
Zhihua YANG
Guangdong Electric Power Communication Technology Co., Ltd.
Jingya YANG
Changsha Nonferrous Metallurgy Design and Research Institute Co., Ltd.
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Zhentian WU, Feng YAN, Zhihua YANG, Jingya YANG, "Dynamic Incentive Mechanism for Industrial Network Congestion Control" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 11, pp. 2015-2018, November 2021, doi: 10.1587/transinf.2020EDL8135.
Abstract: This paper studies using price incentives to shift bandwidth demand from peak to non-peak periods. In particular, cost discounts decrease as peak monthly usage increases. We take into account the delay sensitivity of different apps: during peak hours, the usage of hard real-time applications (HRAS) is not counted in the user's monthly data cap, while the usage of other applications (OAS) is counted in the user's monthly data cap. As a result, users may voluntarily delay or abandon OAS in order to get a higher fee discount. Then, a new data rate control algorithm is proposed. The algorithm allocates the data rate according to the priority of the source, which is determined by two factors: (I) the allocated data rate; and (II) the waiting time.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDL8135/_p
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@ARTICLE{e104-d_11_2015,
author={Zhentian WU, Feng YAN, Zhihua YANG, Jingya YANG, },
journal={IEICE TRANSACTIONS on Information},
title={Dynamic Incentive Mechanism for Industrial Network Congestion Control},
year={2021},
volume={E104-D},
number={11},
pages={2015-2018},
abstract={This paper studies using price incentives to shift bandwidth demand from peak to non-peak periods. In particular, cost discounts decrease as peak monthly usage increases. We take into account the delay sensitivity of different apps: during peak hours, the usage of hard real-time applications (HRAS) is not counted in the user's monthly data cap, while the usage of other applications (OAS) is counted in the user's monthly data cap. As a result, users may voluntarily delay or abandon OAS in order to get a higher fee discount. Then, a new data rate control algorithm is proposed. The algorithm allocates the data rate according to the priority of the source, which is determined by two factors: (I) the allocated data rate; and (II) the waiting time.},
keywords={},
doi={10.1587/transinf.2020EDL8135},
ISSN={1745-1361},
month={November},}
Copier
TY - JOUR
TI - Dynamic Incentive Mechanism for Industrial Network Congestion Control
T2 - IEICE TRANSACTIONS on Information
SP - 2015
EP - 2018
AU - Zhentian WU
AU - Feng YAN
AU - Zhihua YANG
AU - Jingya YANG
PY - 2021
DO - 10.1587/transinf.2020EDL8135
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2021
AB - This paper studies using price incentives to shift bandwidth demand from peak to non-peak periods. In particular, cost discounts decrease as peak monthly usage increases. We take into account the delay sensitivity of different apps: during peak hours, the usage of hard real-time applications (HRAS) is not counted in the user's monthly data cap, while the usage of other applications (OAS) is counted in the user's monthly data cap. As a result, users may voluntarily delay or abandon OAS in order to get a higher fee discount. Then, a new data rate control algorithm is proposed. The algorithm allocates the data rate according to the priority of the source, which is determined by two factors: (I) the allocated data rate; and (II) the waiting time.
ER -