A European railroad needed to monitor its seat reservation activity in order to create a fare model reflecting the usage of the rail line. The fare modeling was a computationally intensive application running on a Solaris system with an Oracle database.
Shadowbase Solution: Heterogeneous Continuous Processing Systems
- Ticketing and seat reservations are handled by an HPE NonStop Server.
- As tickets are sold, the reservation information is replicated from the NonStop SQL Server database to the Oracle database on the Solaris system.
- There, the modeling applications track reservation activity and make decisions concerning future fares.
- Changes to the fare model are then returned to the NonStop system.
- The railroad can now monitor ridership traffic and modify its fare model in near-real-time.