Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/1823

Dynamic overload control for distributed call processors using the neural-network method

Authors Wu, Si
Wong, Michael Kwok-Yee
Issue Date 1998
Source IEEE transactions on neural networks , v. 9, (6), 1998, November, p. 1377-1387
Summary Overload control of call processors in telecom networks is used to protect the network of call processing computers from excessive load during traffic peaks, and involves techniques of predictive control with limited local information. Here we propose a neural-network algorithm, in which a group of neural controllers are trained using examples generated by a globally optimal control method. Simulations show that the neural controllers have better performance than local control algorithms in both the throughput and the response to traffic upsurges. Compared with the centralized control algorithm, the neural control significantly decreases the computational time for making decisions and can be implemented in real time.
Subjects
ISSN 1045-9227
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Language English
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