Notice of Violation of IEEE Publication Principles: Network performance management by using stable algorithms

Notice of Violation of IEEE Publication Principles

"Network Performance Management By Using Stable Algorithms"
by J. Ramkumar and V.B. Kirubanand
in the 2010 2nd International Conference on Computer Technology and Development (ICCTD), 2010, pp. 692 – 696

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains significant portions of original text from the paper cited below. The original text was copied with insufficient attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"A Unified Framework for System-level Design: Modeling and Performance Optimization of Scalable Networking Systems"
by Hwisung Jung and Massoud Pedram
in the 8th International Symposium on Quality Electronic Design, 2007 (ISQED 2007), 2007, pp. 198 – 203


Network Management Systems have played a great important role in information systems. Management is very important and essential in any fields. There are many managements such as configuration management, fault management, performance management, security management, accounting management and etc. Among them, performance management is more important than others. Because it is very essential and useful in any fields. Performance management is to monitor and maintain the whole system. This paper focuses on how the petri net models can be exploited by markov algorithm with adaboost algorithm for performance evaluation of Wireless local area network(WLAN). The main theme of this paper is to increase the performance of various Wireless Local Area Network by using Markov algorithm with Adaboost algorithm. The EQPN model and Markov algorithm with Adaboost algorithm is employed to represent the performance behaviors and to minimize energy consumption of the system under performance constraints through mathematical programming formulations. EQPNs facilitate the integration of both hardware and software aspects of the system behavior in the improved model. In addition to any wireless technology in the systems and using EQPNs one can easily model simultaneous resource possession, synchronization, blocking and contentions for software resources. EQPNs are very powerful as a performance analysis and prediction tool. When comparing the service rates from Wired Local Area Network, it has been found that the service rate from proposed system is very efficient for implementation; we hope to motivate further research in this area.