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Notice of Violation of IEEE Publication Principles
"Performance Evaluation of the Burstiness Impact with a Realistic IP Structure Model"
by Hong Fei, Liu Rui, Bai Yu.
In the Proceedings of the 2nd IEEE International Conference on Computer Science and Information Technology, Beijing, China, August 2009
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 without 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:
"Using LiTGen, a Realistic IP Traffic Model, to Evaluate the Impact of Burstiness on Performance"
by C. Rolland, J. Ridoux, B. Baynat, V. Borrel,
in the Proceedings of Simutools 2008, Marseille, France, March 3-7, 2008
For practical reasons, network simulators have to be designed on traffic models as realistic as possible. This paper presents the evaluation of a realistic IP structure model that accurately captures the packet on interactions of a range of applications. Through automatically extracted distributions of user, application, and network behavior, it then generates live traffic corresponding to the underlying structure models in a network simulation environment running commodity network protocol stacks. We compare them against real data traces using two methods of evaluation. With a wavelet spectrum analysis, we highlight the intrinsic characteristics of the traffic and show this model's ability to generate traffic traces statistically similar to the original traffic. Then, a performance analysis ba- sed on simulations presents the impact of these characteristics on a simple queuing system, and demonstrates this model's ability to reproduce burstiness in traffic across a range of timescales which can be used in a variety of network settings. This work offers several improvements in terms of both functionalities and performance.
Date of Conference: 8-11 Aug. 2009