The Integrated Modular Avionics architecture , IMA, provides means for running multiple safety-critical applications on the same hardware. ARINC 653 is a specification for this kind of architecture. It is a specification for space and time partition in safety-critical real-time operating systems to ensure each application’s integrity.
This project describes how databases can be implemented and used in an ARINC 653 system. The addressed issues are interpartition communication, deadlocks and database storage. Two alternative embedded databases are integrated in an IMA system to be accessed from multiple clients from different partitions.
Performance benchmarking was used to study the differences in terms of throughput, number of simultaneous clients, and scheduling.Databases implemented and benchmarked are SQLite and Raima. The studies indicated a clear speed advantage in favor of SQLite, when Raima was integrated using the ODBC interface. Both databases perform quite well and seem to be good enough for usage in embedded systems.
However, since neither SQLiteor Raima have any real-time support, their usage in safety-critical systems are limited. The testing was performed in a simulated environment which makes the results somewhat unreliable. To validate the benchmark results, further studies must be performed, preferably in a real target environment.The Integrated Modular Avionics architecture , IMA, provides means for running multiple safety-critical applications on the same hardware.
ARINC 653 is a specification for this kind of architecture. It is a specification for space and time partition in safety-critical real-time operating systems to ensure each application’s integrity. This project describes how databases can be implemented and used in an ARINC 653 system. The addressed issues are interpartition communication, deadlocks and database storage.
Two alternative embedded databases are integrated in an IMA system to be accessed from multiple clients from different partitions. Performance benchmarking was used to study the differences in terms of throughput, number of simultaneous clients, and scheduling.Databases implemented and benchmarked are SQLite and Raima.
The studies indicated a clear speed advantage in favor of SQLite, when Raima was integrated using the ODBC interface. Both databases perform quite well and seem to be good enough for usage in embedded systems. However, since neither SQLite or Raima have any real-time support, their usage in safety-critical systems are limited. The testing was performed in a simulated environment which makes the results somewhat unreliable. To validate the benchmark results, further studies must be performed, preferably in a real target environment.
Source: Linköping University
Author: Fri, Martin | Börjesson, Jon