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Abstract: Designing effective control strategies for Asynchronous Transfer Mode (ATM) networks is known to be difficult because of the complexity of the structure of networks, nature of the services supported, and variety of dynamic parameters involved. Additionally, the uncertainties involved in identification of the network parameters cause analytical modeling of ATM networks to be almost impossible. This renders the application of classical control system design methods (which rely on the... (Update)
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BibTeX entry: (Update)
A. Sekercioglu, A. Pitsillides, A. Vasilakos, "Computational intelligence in management of ATM networks", Soft Computing Journal, 5(4), pp. 257-263, 2001. http://citeseer.ist.psu.edu/sekercioglu01computational.html More
@misc{ sekercioglu01computational,
author = "A. Sekercioglu and A. Pitsillides and A. Vasilakos",
title = "Computational intelligence in management of ATM networks",
text = "A. Sekercioglu, A. Pitsillides, A. Vasilakos, Computational intelligence
in management of ATM networks, Soft Computing Journal, 5(4), pp. 257-263,
2001.",
year = "2001",
url = "citeseer.ist.psu.edu/sekercioglu01computational.html" }
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Documents on the same site (http://www.cs.ucy.ac.cy/pitsilli.html):
Aggregates Bandwidth Allocation: Investigation of.. - Pitsillides, al. (2001) (Correct)
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