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
Les réservations de qualité de service (QoS) dans les réseaux à service différencié (DiffServ) peuvent être classées en deux ensembles : les demandes de réservation anticipée (BA) et les demandes instantanées (IR). Lorsqu'une requête BA admise devient active, certains IR en cours sont abandonnés lorsque la bande passante est insuffisante pour prendre en charge à la fois les requêtes IR et BA. Le contrôle d'admission doit prédire la durée de vie, c'est-à-dire le temps d'anticipation, des IR afin d'éviter que les IR admis ne soient abandonnés. Le contrôle doit alors vérifier si la bande passante disponible pendant la période d'anticipation est suffisante pour les IR entrants. Nous proposons un sensible aux applications contrôle d'admission anticipé pour les IR, qui détermine le délai d'anticipation pour des types spécifiques d'applications IR. Une demande BA admise pourrait bloquer les demandes ultérieures qui pourraient apporter davantage revenu effectif. Ainsi, nous proposons le reportable modèle de contrôle d'admission pour les demandes de BA. Les résultats de la simulation indiquent que le contrôle d'admission anticipé orienté application réduit avec succès la probabilité d'abandon et gaspillé les revenus des IR jusqu'à 10 fois et 30 %, respectivement. En outre, le modèle reportable se traduit en effet par des revenus effectifs plus élevés pour BA.
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Ying-Dar LIN, Cheng-Hsien CHANG, Yu-Ching HSU, "Bandwidth Brokers of Instantaneous and Book-Ahead Requests for Differentiated Services Networks" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 1, pp. 278-283, January 2002, doi: .
Abstract: The Quality of Service (QoS) reservations in Differentiated Service (DiffServ) networks can be classified into two sets: Book-ahead (BA) requests and Instantaneous Requests (IRs). When an admitted BA request becomes active, some ongoing IRs is dropped when the bandwidth is insufficient for supporting both IRs and BA requests. The admission control should predict the lifetime, i.e. look-ahead time, of the IRs to prevent the admitted IRs from being dropped. The control should then check whether the available bandwidth during the look-ahead time is sufficient for the incoming IRs. We propose an application-aware look-ahead admission control for IRs, which determines the look-ahead time for specific types of IR applications. An admitted BA request might block subsequent ones that could bring more effective revenue. Thus, we propose the deferrable model of the admission control for BA requests. Simulation results indicate that the application-aware look-ahead admission control successfully reduces the dropping probability and wasted revenue of IRs by up to 10 times and 30%, respectively. Besides, the deferrable model indeed results in more BA effective revenue.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_1_278/_p
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@ARTICLE{e85-b_1_278,
author={Ying-Dar LIN, Cheng-Hsien CHANG, Yu-Ching HSU, },
journal={IEICE TRANSACTIONS on Communications},
title={Bandwidth Brokers of Instantaneous and Book-Ahead Requests for Differentiated Services Networks},
year={2002},
volume={E85-B},
number={1},
pages={278-283},
abstract={The Quality of Service (QoS) reservations in Differentiated Service (DiffServ) networks can be classified into two sets: Book-ahead (BA) requests and Instantaneous Requests (IRs). When an admitted BA request becomes active, some ongoing IRs is dropped when the bandwidth is insufficient for supporting both IRs and BA requests. The admission control should predict the lifetime, i.e. look-ahead time, of the IRs to prevent the admitted IRs from being dropped. The control should then check whether the available bandwidth during the look-ahead time is sufficient for the incoming IRs. We propose an application-aware look-ahead admission control for IRs, which determines the look-ahead time for specific types of IR applications. An admitted BA request might block subsequent ones that could bring more effective revenue. Thus, we propose the deferrable model of the admission control for BA requests. Simulation results indicate that the application-aware look-ahead admission control successfully reduces the dropping probability and wasted revenue of IRs by up to 10 times and 30%, respectively. Besides, the deferrable model indeed results in more BA effective revenue.},
keywords={},
doi={},
ISSN={},
month={January},}
Copier
TY - JOUR
TI - Bandwidth Brokers of Instantaneous and Book-Ahead Requests for Differentiated Services Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 278
EP - 283
AU - Ying-Dar LIN
AU - Cheng-Hsien CHANG
AU - Yu-Ching HSU
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E85-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2002
AB - The Quality of Service (QoS) reservations in Differentiated Service (DiffServ) networks can be classified into two sets: Book-ahead (BA) requests and Instantaneous Requests (IRs). When an admitted BA request becomes active, some ongoing IRs is dropped when the bandwidth is insufficient for supporting both IRs and BA requests. The admission control should predict the lifetime, i.e. look-ahead time, of the IRs to prevent the admitted IRs from being dropped. The control should then check whether the available bandwidth during the look-ahead time is sufficient for the incoming IRs. We propose an application-aware look-ahead admission control for IRs, which determines the look-ahead time for specific types of IR applications. An admitted BA request might block subsequent ones that could bring more effective revenue. Thus, we propose the deferrable model of the admission control for BA requests. Simulation results indicate that the application-aware look-ahead admission control successfully reduces the dropping probability and wasted revenue of IRs by up to 10 times and 30%, respectively. Besides, the deferrable model indeed results in more BA effective revenue.
ER -