In order to check if the system behavior satisfies the requirement set, this paper uses a class of DEVS, called finite & deterministic DEVS (FD-DEVS). Since the infinite state behavior of FD-DEVS networks can be a...
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In order to check if the system behavior satisfies the requirement set, this paper uses a class of DEVS, called finite & deterministic DEVS (FD-DEVS). Since the infinite state behavior of FD-DEVS networks can be abstracted as a finite reachable graph, this paper utilizes the reachable graph structure to check the emptiness of illegal behavior detected by checkers, called rejectors, as well as the non-emptiness of legal behavior generated by components under testing.
This paper presents a new approach that enhances the performance of large scale cellular space simulations expressed in modular DEVS. The basic idea is to group cells in cellular space into smaller partitions that are...
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This paper presents a new approach that enhances the performance of large scale cellular space simulations expressed in modular DEVS. The basic idea is to group cells in cellular space into smaller partitions that are treated as atomic DEVS models. The enhancement is achieved by reducing the large number of messages generated by inter- cell communication. This, in turn, saves large number of simulator iterations that were used to handle such communication. The new approach gives significant simulation speedup over the conventional techniques of representing cells in DEVS. A landslide slope criticality model is used to perform some computational experiments to demonstrate the simulation speedup of our approach.
With the increased demand for distributed simulation environments to support large-scale modeling and simulation applications, much research has focused 011 developing a software environment to support simulation acro...
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With the increased demand for distributed simulation environments to support large-scale modeling and simulation applications, much research has focused 011 developing a software environment to support simulation across a heterogeneous computing networks. I11 this paper, a new implementation of the DEVS formalism called DEVS/RMI system is presented as a natively distributed simulation system based 011 standard implementation of DEVS. Our objective is to distribute simulation entities across network nodes seamlessly without any of the commonly used middleware. The proposed DEVS/RMI system is also built to support autonomous, dynamic and adaptive reconfiguration of simulations during run-time. In general, the DEVS/RMI approach is well suited for complex, computationally intensive simulation applications, and it provides an flexible and efficient software development environment for rapid development of simulation applications in a heterogeneous network environment when compared with other more traditional high performance simulation packages using MPI or PVM. A test case of a large-scale dynamic 2D-Cell space model is discussed and presented in this paper.
Composition of models is considered essential in developing heterogeneous complex systems and in particular simulation models capable of expressing a system's structure and behavior. This paper describes model com...
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ISBN:
(纸本)9781424405015
Composition of models is considered essential in developing heterogeneous complex systems and in particular simulation models capable of expressing a system's structure and behavior. This paper describes model composability concepts and approaches in terms of modeling formalisms. These composability approaches along with some of the key capabilities and challenges they pose are presented in the context of semiconductor supply chain manufacturing systems
The discrete event systems specification (DEVS) framework is based on systems engineering principles and is used for modeling and simulation in many application domains. This framework supports a number of important f...
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ISBN:
(纸本)9781424405015
The discrete event systems specification (DEVS) framework is based on systems engineering principles and is used for modeling and simulation in many application domains. This framework supports a number of important features such as component based hierarchical simulation model development, scalability, reusability and distributed simulation. This paper demonstrates the application of the DEVS framework for construction simulation through a simple, but representative real world application. The application focuses on analyzing the work flow between various trade contractors in production home building. The software tool 'DEVSJAVA' is used for modeling and simulation of the construction application. DEVSJAVA is object oriented; it implements the DEVS framework using Java programming language. This paper consists of three main components: an overview of the state-of-the-art in construction simulation methods and tools, an introduction to the DEVS framework, and a detailed construction example to highlight the application of DEVS framework
Discrete Event simulation is a natural way to simulate models that are characterized by heterogeneity in their spatio-temporal behavior. This paper describes a valley fever spore-propagation model that describes the t...
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Discrete Event simulation is a natural way to simulate models that are characterized by heterogeneity in their spatio-temporal behavior. This paper describes a valley fever spore-propagation model that describes the time dependent spatial distribution of spores in southern arizona. Two implementations of this model are examined and their execution times are compared. A discrete event model exploits the fact that only a few areas are favorable for the growth of the fungus at any given time. This allows it to schedule events only at the areas that are favorable. In contrast, the existing discrete time model cannot take advantage of the few areas that are favorable.
The success of DEVS methods for simulating large continuous models calls for more in-depth examination of the applicability of discrete events in modeling continuous phenomena. We present a concept of event set and an...
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This paper presents the results of applying an incremental simulation-based design process to study a robotic convoy system. Robot-in-the-loop simulation, as a major step in this process, allows the system to be measu...
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This paper deals with modeling and simulation of surface forest fire spread and suppression using the discrete event system specification (DEVS) cellspace approach. The event-based modeling approach allows for timely ...
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This paper deals with modeling and simulation of surface forest fire spread and suppression using the discrete event system specification (DEVS) cellspace approach. The event-based modeling approach allows for timely simulation-based predictions of forest, fire spread and suppression in uniform and non-uniform environmental conditions. This paper proposes a conceptual model for a coupled forest cell model comprising of a forest cell agent atomic model and a forest cell atomic model The forest cell agent atomic model will allow for modeling and simulation of more complex fire suppression strategies to control fire spread. The proposed basic model provides an advance toward developing a real-time or fast-as-can decision support simulation system for predicting forest fire spread and the effects of fire suppression attempts.
simulationmodeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides inf...
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simulationmodeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides information for its controller to account for (expected) stochasticity present in the manufacturing processes. In turn, the controller can provide (near) optimal decisions for the operation of the processes and thus handle uncertainty in customer demands. In this paper, we describe an environment that synthesizes discrete-event system specification (DEVS) with model predictive control (MPC) paradigms using a knowledge interchange broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.
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