Performance modeling and simulation of data management for personal communications applications

The paper analyses and simulates the impact of providing voice and non-voice personal communications services (PCS) on the volume of network database transactions. A number of activities in PCS, such as user mobility and call origination and delivery, require data management functions. These include mobility registration, radio channel management, service profile query, security-related functions such as authentication and privacy, and special billing arrangements. A large portion of these data management activities may be performed using elements of the intelligent network such as switches (e.g., service switching point or SSP) and network databases (e.g., service control point or SCP). The authors extend the single logical database model to include data partitioning into multiple databases. This model is helpful in case a single database is inadequate to handle all the transaction volume generated due to PCS. They give a first-cut analysis using such a model. A simulation framework is described for data management under various scenarios. This work pertains mainly to data management. In addition, qualitative effects of data partitioning on signaling traffic are outlined