Abstract:
Simulation Virtual Machines (SVMs) are essential tools in the field of computer simulation, enabling the modeling and analysis of complex systems. This abstract presents an approach to developing an SVM using an object-oriented implementation of the Cellular Discrete-Event System Specification (CDEVS) and Parallel Discrete-Event System Specification (PDEVS) formalisms.
CDEVS and PDEVS provide powerful abstractions for modeling and simulating dynamic systems. CDEVS models represent systems as a network of interacting components, where each component has its own state and behavior. PDEVS extends CDEVS by introducing parallelism, allowing multiple components to execute simultaneously, thereby enhancing the modeling capabilities and performance of the simulation.
The proposed approach leverages object-oriented programming principles to implement CDEVS and PDEVS concepts. By representing components as objects and utilizing inheritance and polymorphism, the implementation achieves modularity, extensibility, and code reusability. Object-oriented design patterns, such as the Composite and Observer patterns, can be employed to structure and manage the simulation model effectively.
The simulation virtual machine provides a runtime environment for executing CDEVS and PDEVS models. It manages the simulation clock, event scheduling, and event-driven execution. The object-oriented implementation enables the SVM to efficiently handle complex systems with a large number of components and interactions. It also facilitates the integration of external libraries and tools, enabling users to incorporate domain-specific functionalities into their simulation models.
The benefits of this approach include improved model development productivity, enhanced system representation, and increased simulation performance. The object-oriented implementation promotes modular and reusable code, simplifying model construction and maintenance. Moreover, the SVM can leverage parallel processing techniques to exploit the computational power of modern multi-core and distributed systems.
The effectiveness of the proposed approach can be demonstrated through case studies and performance evaluations. Comparisons with existing simulation frameworks can be conducted to assess its advantages in terms of flexibility, scalability, and execution speed.
In conclusion, this abstract introduces an approach to developing a Simulation Virtual Machine using an object-oriented implementation of CDEVS and PDEVS. The proposed approach offers a flexible and efficient solution for modeling and simulating complex systems, empowering researchers and practitioners to gain insights into system behavior and make informed decisions.
APPROACH TO A SIMULATION VIRTUAL MACHINE: OBJECT ORIENTED IMPLEMENTATION OF CDEVS AND PDEVS. GET MOREÂ Â COMPUTER SCIENCE PROJECT TOPICS AND MATERIALS
