DocumentCode
518923
Title
Notice of Retraction
Autoregressive nonlinear with exogenous input, measurement-based modeling of the round trip time using Nonlinear System Identification
Author
Parra, O.J.S. ; Martinez, Neil Orlando Diaz ; Puente, F.J.
Author_Institution
Univ. Distrital Francisco Jose de Caldas, Caldas, Colombia
fYear
2010
fDate
11-13 May 2010
Firstpage
754
Lastpage
759
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.
This article presents a model development of the round trip time in a TCP/IP data network using Nonlinear System Identification techniques, normally employed in Process Control modeling. To achieve this goal, was necessary studying the tools and techniques used by Process Control Engineering and the data collection in TCP/IP data networks. This work demonstrates the effective use of these techniques in the telecommunications field for modeling complex systems like the Internet, part of it or less complex data networks like those found in the enterprise environment.
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.
This article presents a model development of the round trip time in a TCP/IP data network using Nonlinear System Identification techniques, normally employed in Process Control modeling. To achieve this goal, was necessary studying the tools and techniques used by Process Control Engineering and the data collection in TCP/IP data networks. This work demonstrates the effective use of these techniques in the telecommunications field for modeling complex systems like the Internet, part of it or less complex data networks like those found in the enterprise environment.
Keywords
IP networks; autoregressive processes; nonlinear systems; process control; transport protocols; TCP/IP data network; autoregressive nonlinear; complex systems; data collection; enterprise environment; measurement-based modeling; nonlinear system identification; process control engineering; round trip time; telecommunications field; Data engineering; Feedforward neural networks; Feeds; Mathematical model; Neural networks; Nonlinear systems; Parallel architectures; Process control; TCPIP; Time measurement; and nonlinear autoregressive with exogenous input; measurement-based modeling; round trip time;
fLanguage
English
Publisher
ieee
Conference_Titel
New Trends in Information Science and Service Science (NISS), 2010 4th International Conference on
Conference_Location
Gyeongju
Print_ISBN
978-1-4244-6982-6
Type
conf
Filename
5488518
Link To Document