IEICE TRANSACTIONS on Information
A Fuzzy Control-Based Service Configuration Approach for Ubiquitous Computing Applications
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.5 pp.1186-1189
- Publication Date
- 2009/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.1186
- Type of Manuscript
- LETTER
- Category
- Networks
Authors
Keyword
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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},}
Copy
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 -
English
