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 propose une nouvelle approche de configuration de service qui peut réaliser une adaptation dynamique et critique de la qualité de service (QoS) à des environnements informatiques omniprésents en constante évolution et aux ressources limitées. Dans cette approche, la configuration du service est réduite à un système de contrôle flou (FCS) qui vise à obtenir des variations critiques de QoS à un niveau minimal avec un coût énergétique moindre. Deux stratégies de configuration, la reconfiguration de la chaîne de services et l'ajustement des paramètres de QoS, ainsi qu'un algorithme de configuration, sont mises en œuvre pour gérer différents types de variations de QoS. Un algorithme d'auto-optimisation est conçu pour améliorer l'adaptation du FCS. Les résultats de simulation valident l'approche proposée.
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Yong ZHANG, Shensheng ZHANG, Songqiao HAN, "A Fuzzy Control-Based Service Configuration Approach for Ubiquitous Computing Applications" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 5, pp. 1186-1189, May 2009, doi: 10.1587/transinf.E92.D.1186.
Abstract: This paper proposes a novel service configuration approach that can realize dynamic critical Quality of Service (QoS) adaptation to ever-changing and resource-limited ubiquitous computing environments. In the approach, service configuration is reduced to a Fuzzy Control System (FCS) which aims to achieve critical QoS variations on minimal level with less power cost. Two configuration strategies, service chain reconfiguration and QoS parameters adjustment, along with a configuration algorithm, are implemented to handle different types of QoS variations. A self-optimizing algorithm is designed to enhance the adaptation of the FCS. Simulation results validate the proposed approach.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1186/_p
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@ARTICLE{e92-d_5_1186,
author={Yong ZHANG, Shensheng ZHANG, Songqiao HAN, },
journal={IEICE TRANSACTIONS on Information},
title={A Fuzzy Control-Based Service Configuration Approach for Ubiquitous Computing Applications},
year={2009},
volume={E92-D},
number={5},
pages={1186-1189},
abstract={This paper proposes a novel service configuration approach that can realize dynamic critical Quality of Service (QoS) adaptation to ever-changing and resource-limited ubiquitous computing environments. In the approach, service configuration is reduced to a Fuzzy Control System (FCS) which aims to achieve critical QoS variations on minimal level with less power cost. Two configuration strategies, service chain reconfiguration and QoS parameters adjustment, along with a configuration algorithm, are implemented to handle different types of QoS variations. A self-optimizing algorithm is designed to enhance the adaptation of the FCS. Simulation results validate the proposed approach.},
keywords={},
doi={10.1587/transinf.E92.D.1186},
ISSN={1745-1361},
month={May},}
Copier
TY - JOUR
TI - A Fuzzy Control-Based Service Configuration Approach for Ubiquitous Computing Applications
T2 - IEICE TRANSACTIONS on Information
SP - 1186
EP - 1189
AU - Yong ZHANG
AU - Shensheng ZHANG
AU - Songqiao HAN
PY - 2009
DO - 10.1587/transinf.E92.D.1186
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2009
AB - This paper proposes a novel service configuration approach that can realize dynamic critical Quality of Service (QoS) adaptation to ever-changing and resource-limited ubiquitous computing environments. In the approach, service configuration is reduced to a Fuzzy Control System (FCS) which aims to achieve critical QoS variations on minimal level with less power cost. Two configuration strategies, service chain reconfiguration and QoS parameters adjustment, along with a configuration algorithm, are implemented to handle different types of QoS variations. A self-optimizing algorithm is designed to enhance the adaptation of the FCS. Simulation results validate the proposed approach.
ER -