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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kertas kerja ini mencadangkan pendekatan konfigurasi perkhidmatan baharu yang boleh merealisasikan penyesuaian Kualiti Perkhidmatan (QoS) kritikal dinamik kepada persekitaran pengkomputeran yang sentiasa berubah dan terhad sumber. Dalam pendekatan, konfigurasi perkhidmatan dikurangkan kepada Sistem Kawalan Fuzzy (FCS) yang bertujuan untuk mencapai variasi QoS kritikal pada tahap minimum dengan kos kuasa yang lebih rendah. Dua strategi konfigurasi, konfigurasi semula rantaian perkhidmatan dan pelarasan parameter QoS, bersama-sama dengan algoritma konfigurasi, dilaksanakan untuk mengendalikan pelbagai jenis variasi QoS. Algoritma pengoptimuman diri direka untuk meningkatkan penyesuaian FCS. Keputusan simulasi mengesahkan pendekatan yang dicadangkan.
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Salinan
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
Salinan
@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},}
Salinan
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 -