Action-level real-time DEVS modeling and simulation

Sarjoughian, Hessam S.; Gholami, Soroosh

doi:10.1177/0037549715604720

Cited by 17 publications

(9 citation statements)

References 27 publications

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“…Discrete event system specification (DEVS) 23 is one of the most frequently used mechanisms for system modeling and simulation. Based on unified mathematics, DEVS can provide independent, but mutually supportive, modeling theory and method, which dramatically improves the efficiency of system simulation and verification.…”

Section: Related Workmentioning

confidence: 99%

Real-time digital simulator for distributed systems

Chen

Han

et al. 2021

SIMULATION

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Simulation has been widely adopted as a support tool for the validation and experimentation of distributed systems. It allows different devices and applications to be evaluated and analyzed without requiring the actual presence of those machines. Although the simulation plays an important role in investigating and evaluating the behaviors of devices, it results in a serious simulator building problem as the distributed systems become more and more complicated and dynamically data driven. Most of the existing simulators are designed and developed to target a specific type of application, lacking the capabilities to be a configurable and standardized tool for researchers. To solve the adaptability and reusability problems of simulators, this paper proposes a new approach to design and implement a configurable real-time digital simulator for hardware devices that are connected via data buses in distributed systems. First, the proposed simulator uses a logic automaton to simulate the activities of a real device, and generates the incentive data for tested equipment according to the predefined XML-based files. Then with a virtual bus, the simulator can receive, handle, and send data in various network environments, improving the flexibility and adaptability of a simulator design. Experimental results show that the proposed simulator has a high real-time performance, and can meet the increasing requirements of modern simulations of distributed systems.

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Section: Related Workmentioning

confidence: 99%

Real-time digital simulator for distributed systems

Chen

Han

et al. 2021

SIMULATION

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“…Figure 1 Relationship between modeling and simulation [17] Several frameworks may be utilized to implement modeling and simulation concepts; in this study, the DEVS-Suite is used to implement the problem [16]. The DEVS-Suite simulator is one of the most commonly used modeling and simulation tools for parallel DEVS formalism [18].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Cargo Unloading Problem: A Case study on estimating the optimal number of trucks and cranes

Zengi̇n

HAMDOON²

2022

Sakarya University Journal of Computer and Information Sciences

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For studying operational and organizational systems, modeling and simulation tools are becoming increasingly relevant. It is possible to build a lot of systems and study their behavior, which saves a lot of effort, time, and cost, where it cannot or difficult to study its behavior in the real world. There are many frameworks to implement modeling and simulation using a computer. in this paper DEVS-Suite for discrete events is used to implement a simulation of cargo unloading problem which represents a study on estimating the optimal number of trucks and cranes required in process of unloading goods and according to some determinants. The duration of the simulation is one month which is equivalent to 43,200 minutes. Based on the performance measures that were adopted in this study, the optimal number of trucks and cranes is 5 out of three assumptions of 3, 5, and 10, where the work will be in a permanent state of work and high productivity.

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“…A simulation platform reduces the development and verification cost of distributed systems, 8 and is of great value as it is extremely difficult to carry out all experiments with so many different configurations of real devices. 9 The simulation platform not only simulates the behaviors and functionalities of ARINC 653 devices, but also offers a virtual operating environment to devices through the modeling of hardware resources and communication links of avionics systems. 10 An ARINC 653 simulation platform based on general-purpose operating systems not only checks the communication and functionality constraints of ARINC 653 applications, but also increases the efficiency of design and implementation of real-time avionics systems.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of a virtual ARINC 653 simulation platform

Chen

et al. 2021

SIMULATION

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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.

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Action-level real-time DEVS modeling and simulation

Cited by 17 publications

References 27 publications

Real-time digital simulator for distributed systems

Real-time digital simulator for distributed systems

Simulation of Cargo Unloading Problem: A Case study on estimating the optimal number of trucks and cranes

Design and implementation of a virtual ARINC 653 simulation platform

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