TY - JOUR
T1 - A Software-Based Monitoring Framework for Time-Space Partitioned Avionics Systems
AU - Shin, Changmin
AU - Lim, Chaedeok
AU - Kim, Joongheon
AU - Roh, Heejun
AU - Lee, Wonjun
N1 - Funding Information:
This work was supported in part by Ministry of Science and ICT/Institute for Information communications Technology Promotion, South Korea under the ICT Research and Development program under Grant 1711055509, in part by the National Research Foundation of Korea Grant through by the Korean Government (MSIT) under Grant 2017R1A2B2004811, and in part by the Ministry of Knowledge Economy, South Korea under World Best Software under Project 10038486.
Publisher Copyright:
© 2013 IEEE.
PY - 2017/9/21
Y1 - 2017/9/21
N2 - Recently, avionics systems have evolved into a time and space partitioning (TSP)-based integrated modular avionics (IMA) structure for integration into a single system from a variety of existing independently configured federated systems. The TSP-based IMA architecture is suitable for solving size, weight, and power problems in avionics systems. Partitioning real-time operating systems (RTOSs) to support TSP-based IMA have been researched, and the international aviation industry has established the ARINC 653 standard for a partitioning RTOS. The ARINC 653 standard has defined the health monitoring (HM) function for debugging. However, the HM of the ARINC 653 standard does not support monitoring and debugging functions, such as snapshot, cycle, and, redundancy monitor, which makes the system development hard. To this end, the purpose of this paper is to introduce a monitoring framework that supports high reliability and stability for RTOS and application software based on TSP structure used in avionics systems. The proposed monitoring framework is designed for Qplus-AIR, an RTOS based on the TSP structure that conforms to the ARINC 653 for aircraft systems. It is also applicable to other RTOSs based on TSP structure that does not conform to ARINC 653. It supports monitoring functions, such as snapshot, trigger, and cycle as well as various debugging functions. It also supports debugging and monitoring operations under the redundancy of avionics systems, and minimizes the intrusive effect, which is a disadvantage of the software-based debugging approach. These functionalities enable avionics system developers to monitor and measure the performance of TSP structure-based RTOS and application software in flight control system for unmanned aerial vehicles. Our evaluation results show that the proposed monitoring framework is suitable for monitoring and debugging of RTOS and application software based on TSP structure.
AB - Recently, avionics systems have evolved into a time and space partitioning (TSP)-based integrated modular avionics (IMA) structure for integration into a single system from a variety of existing independently configured federated systems. The TSP-based IMA architecture is suitable for solving size, weight, and power problems in avionics systems. Partitioning real-time operating systems (RTOSs) to support TSP-based IMA have been researched, and the international aviation industry has established the ARINC 653 standard for a partitioning RTOS. The ARINC 653 standard has defined the health monitoring (HM) function for debugging. However, the HM of the ARINC 653 standard does not support monitoring and debugging functions, such as snapshot, cycle, and, redundancy monitor, which makes the system development hard. To this end, the purpose of this paper is to introduce a monitoring framework that supports high reliability and stability for RTOS and application software based on TSP structure used in avionics systems. The proposed monitoring framework is designed for Qplus-AIR, an RTOS based on the TSP structure that conforms to the ARINC 653 for aircraft systems. It is also applicable to other RTOSs based on TSP structure that does not conform to ARINC 653. It supports monitoring functions, such as snapshot, trigger, and cycle as well as various debugging functions. It also supports debugging and monitoring operations under the redundancy of avionics systems, and minimizes the intrusive effect, which is a disadvantage of the software-based debugging approach. These functionalities enable avionics system developers to monitor and measure the performance of TSP structure-based RTOS and application software in flight control system for unmanned aerial vehicles. Our evaluation results show that the proposed monitoring framework is suitable for monitoring and debugging of RTOS and application software based on TSP structure.
KW - ARINC 653
KW - integrated modular avionics (IMA)
KW - monitoring
KW - real-time operating system (RTOS)
KW - time and space partitioning (TSP)
KW - unmanned aerial vehicle (UAV)
UR - http://www.scopus.com/inward/record.url?scp=85030662771&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2017.2755638
DO - 10.1109/ACCESS.2017.2755638
M3 - Article
AN - SCOPUS:85030662771
SN - 2169-3536
VL - 5
SP - 19132
EP - 19143
JO - IEEE Access
JF - IEEE Access
M1 - 8048470
ER -