IEICE TRANSACTIONS on Communications
QoS-Aware Bandwidth Allocation Algorithm for Multimedia Service Networks
Summary :
Bandwidth is an extremely valuable and scarce resource in multimedia networks. Therefore, efficient bandwidth management is necessary in order to provide high Quality of Service (QoS) to users. In this paper, a new QoS-aware bandwidth allocation algorithm is proposed for the efficient use of available bandwidth. By using the multi-objective optimization technique and Talmud allocation rule, the bandwidth is adaptively controlled to maximize network efficiency while ensuring QoS provisioning. In addition, we adopt the online feedback strategy to dynamically respond to current network conditions. With a simulation study, we demonstrate that the proposed algorithm can adaptively approximate an optimized solution under widely diverse traffic load intensities.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.3 pp.810-812
- Publication Date
- 2011/03/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.810
- Type of Manuscript
- LETTER
- Category
- Network
Authors
Keyword
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Sungwook KIM, "QoS-Aware Bandwidth Allocation Algorithm for Multimedia Service Networks" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 3, pp. 810-812, March 2011, doi: 10.1587/transcom.E94.B.810.
Abstract: Bandwidth is an extremely valuable and scarce resource in multimedia networks. Therefore, efficient bandwidth management is necessary in order to provide high Quality of Service (QoS) to users. In this paper, a new QoS-aware bandwidth allocation algorithm is proposed for the efficient use of available bandwidth. By using the multi-objective optimization technique and Talmud allocation rule, the bandwidth is adaptively controlled to maximize network efficiency while ensuring QoS provisioning. In addition, we adopt the online feedback strategy to dynamically respond to current network conditions. With a simulation study, we demonstrate that the proposed algorithm can adaptively approximate an optimized solution under widely diverse traffic load intensities.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.810/_p
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@ARTICLE{e94-b_3_810,
author={Sungwook KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={QoS-Aware Bandwidth Allocation Algorithm for Multimedia Service Networks},
year={2011},
volume={E94-B},
number={3},
pages={810-812},
abstract={Bandwidth is an extremely valuable and scarce resource in multimedia networks. Therefore, efficient bandwidth management is necessary in order to provide high Quality of Service (QoS) to users. In this paper, a new QoS-aware bandwidth allocation algorithm is proposed for the efficient use of available bandwidth. By using the multi-objective optimization technique and Talmud allocation rule, the bandwidth is adaptively controlled to maximize network efficiency while ensuring QoS provisioning. In addition, we adopt the online feedback strategy to dynamically respond to current network conditions. With a simulation study, we demonstrate that the proposed algorithm can adaptively approximate an optimized solution under widely diverse traffic load intensities.},
keywords={},
doi={10.1587/transcom.E94.B.810},
ISSN={1745-1345},
month={March},}
Copy
TY - JOUR
TI - QoS-Aware Bandwidth Allocation Algorithm for Multimedia Service Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 810
EP - 812
AU - Sungwook KIM
PY - 2011
DO - 10.1587/transcom.E94.B.810
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2011
AB - Bandwidth is an extremely valuable and scarce resource in multimedia networks. Therefore, efficient bandwidth management is necessary in order to provide high Quality of Service (QoS) to users. In this paper, a new QoS-aware bandwidth allocation algorithm is proposed for the efficient use of available bandwidth. By using the multi-objective optimization technique and Talmud allocation rule, the bandwidth is adaptively controlled to maximize network efficiency while ensuring QoS provisioning. In addition, we adopt the online feedback strategy to dynamically respond to current network conditions. With a simulation study, we demonstrate that the proposed algorithm can adaptively approximate an optimized solution under widely diverse traffic load intensities.
ER -
English
