Estimation of the Effects of non-IN Traffic on IN Service Control Point Congestion Control Performance
نویسنده
چکیده
This paper describes a simulation of an Intelligent Network (IN) which reflects the actual physical architecture of the network and models the information flows required between network entities in order to execute various IN services. An effective congestion control strategy is implemented with a suitable detection method at the Service Control Point (SCP) and Automatic Code Gapping (ACG) as a throttle mechanism in the Service Switching Points (SSPs). Non-IN traffic is then introduced to the network and the effects of this extra load at the switches on the performance of the congestion control strategy is estimated using SCP queue length, SCP throughput and user response delays as the relevant criteria.
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