Railroad Fare Modeling

Problem:

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: 

Shadowbase-heterogeneous-continuous-processing-system

 

  • 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.

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The above was adapted from the book: Breaking the Availability Barrier, Volume III: Active/Active Systems in Practice by Paul J. Holenstein, Dr. Bruce Holenstein, and Dr. Bill Highleyman.