Abstract
This paper examines the congestion control issues which arise in Intelligent Network (IN) use, when it is necessary to support multiple traffic types arriving at the Service Switching Points. A number of factors determining the relative importance or weight of different traffic types are identified and are used to define priorities for arriving call types. A strategy is presented which both protects the Service Control Point and Service Switching Points from failure due to overload and maximises revenue for the network, while maintaining call priorities (as defined by their weights). The efficiency of this strategy is demonstrated by using the decomposition method on a simple analytical “pseudo-dynamic” queueing model of the IN in which the Service Switching Points comprise multiple queues and are based on the functionality of the AXE10 switch.
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© 1998 Springer-Verlag Berlin Heidelberg
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Lodge, F., Botvich, D., Curran, T. (1998). A fair Intelligent Network congestion control strategy based on revenue optimisation. In: Trigila, S., Mullery, A., Campolargo, M., Vanderstraeten, H., Mampaey, M. (eds) Intelligence in Services and Networks: Technology for Ubiquitous Telecom Services. IS&N 1998. Lecture Notes in Computer Science, vol 1430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056951
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DOI: https://doi.org/10.1007/BFb0056951
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