DocumentCode
554020
Title
Notice of Retraction
A novel QoS evaluation scheme based on support vector machine
Author
Jingyao Wang ; Heli Liu ; Mei Song
Author_Institution
Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
724
Lastpage
727
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The quality of service (QoS) is an important factor for networks; guarantee the QoS in network is then very important for the network performance. Anyway, the research on the accurately evaluation on QoS is still lacked. In this paper, we employ the computational learning theory to study this problem and present the QoS evaluation model. Then the QoS evaluation scheme base on support vector machine (SVM) is proposed. Simulation results show that our propose scheme is more effective and improve the performance of the QoS evaluation.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The quality of service (QoS) is an important factor for networks; guarantee the QoS in network is then very important for the network performance. Anyway, the research on the accurately evaluation on QoS is still lacked. In this paper, we employ the computational learning theory to study this problem and present the QoS evaluation model. Then the QoS evaluation scheme base on support vector machine (SVM) is proposed. Simulation results show that our propose scheme is more effective and improve the performance of the QoS evaluation.
Keywords
computer network performance evaluation; quality of service; support vector machines; telecommunication computing; ubiquitous computing; QoS evaluation scheme; SVM; computational learning theory; network performance; quality of service; support vector machine; ubiquitous heterogeneous network; Computational efficiency; Computational modeling; Machine learning; Quality of service; Support vector machines; Telecommunications; Training data; Computational Learning; Machine Learning; QoS evaluation; Support Vector Machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022143
Filename
6022143
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