Design and implementation of a virtual ARINC 653 simulation platform

Abstract

The ARINC 653 operation system is currently widely adopted in the avionics industry, and has become the mainstream architecture in avionics applications because of its strong agility and reliability. Although ARINC 653 can efficiently reduce the weight and energy consumption, it results in a serious development and verification problem for avionics systems. As ARINC 653 is non-open source software and lacks effective support for software testing and debugging, it is of great significance to build a real-time simulation platform for ARINC 653 on general-purpose operating systems, improving the efficiency and effectiveness of system development and implementation. In this paper, a virtual ARINC 653 platform is designed and realized by using real-time simulation technology. The proposed platform is composed of partition management, communication management, and health monitoring management, provides the same operation interfaces as the ARINC 653 system, and allows dynamic debugging of avionics applications without requiring the actual presence of real devices. Experimental results show that the platform not only simulates the functionalities of ARINC 653, but also meets the real-time requirements of avionics applications.

Lateral stability analysis and equivalent circuit simulation of double-axis bogie

“…In order to realize that the circuit equation ( 8) is mathematically equivalent to the integral equation ( 7), C 1  6 =1000nF and C 7  12 =10nF are selected, and the corresponding relation between the equations in the equations ( 7) and (8)1/RC=A, the value of R can be calculated. In order to ensure the accuracy and stability of the circuit simulation, the equivalent parameters were calculated by Matlab [8] . The calculated results are shown in Fig.…”

Extending CloudSim to simulate sensor networks

“…Simulation modeling delivers valuable solutions across sectors and disciplines by providing clear insights into complex systems. For example, Chen et al 42 provided design and implementation of a virtual ARINC 653 simulation platform, whereas Tang et al 43 presented an alternative strategy for collaborative simulation execution on a CPU+GPU hybrid systems.…”

“…Simulation modeling delivers valuable solutions across sectors and disciplines by providing clear insights into complex systems. For example, Chen et al 42 provided design and implementation of a virtual ARINC 653 simulation platform, whereas Tang et al 43 presented an alternative strategy for collaborative simulation execution on a CPU + GPU hybrid systems. The quality of service (QoS) supplied to the client is arguably the most important performance parameter in the context of cloud computing, 12 which mainly constitutes availability, reliability, response time, and request served throughput.…”

Design and implementation of a real-time simulation platform for embedded applications on general-purpose operating systems

“…Second, the interfaces of the embedded real-time systems and the general-purpose operating systems are different, and embedded real-time applications cannot be directly executed on the general operating systems. 6 Finally, embedded applications usually need to interact with other devices through communication links, which are usually not provided in generalpurpose operating systems. 7 In this paper, we focus on the simulation environment building problem of embedded applications, and design and realize a real-time simulation platform on generalpurpose operating systems with the virtualization technology.…”

“…Second, the interfaces of the embedded real-time systems and the general-purpose operating systems are different, and embedded real-time applications cannot be directly executed on the general operating systems. 6 Finally, embedded applications usually need to interact with other devices through communication links, which are usually not provided in general-purpose operating systems. 7…”