2013Unpublished venueRequires access

Some Problems of the Simulation Model Efficiency and Flexibility

Alexander Mikov, Alexander Kozlov, Elena Zamyatina, Sergey Ermakov

Open publisher page 4 citations

Abstract

Simulation remains one of the most popular and sometimes the only method of investigation of the complex dynamical systems nowadays. The problems become more and more complicate and so simulation models become complicate and large scale too. So the modelers have to reduce the time of simulation run and overall time of the simulation model design, it's verification, validation and simulation experiment. The authors believe that the problem of efficiency and flexibility of simulation systems (program tools and linguistic construction) can be solved through it's automation and intellectualization. This paper discusses the problem of design and implementation of the distributed and parallel simulation systems using the power of several compute nodes of computer network (or cluster or multiprocessor computer). Authors suggest original approach to the synchronization and load balancing of the objects of distributed simulation model. Furthermore authors consider the problem of reduction of time needed to design and to debug a simulation model, the problems of the simulation tools adaptability and offer using models and methods of artificial intelligence in these cases.

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What this paper is about

Simulation remains one of the most popular and sometimes the only method of investigation of the complex dynamical systems nowadays. The problems become more and more complicate and so simulation models become complicate and large scale too. So the modelers have to reduce the time of simulation run and overall time of the simulation model design, it's verification, validation and simulation experiment. The authors believe that the problem of efficiency and flexibility of simulation systems (program tools and linguistic construction) can be solved through it's automation and intellectualization. This paper discusses the problem of design and implementation of the distributed and parallel simulation systems using the power of several compute nodes of computer network (or cluster or multiprocessor computer). Authors suggest original approach to the synchronization and load balancing of the objects of distributed simulation model. Furthermore authors consider the problem of reduction of time needed to design and to debug a simulation model, the problems of the simulation tools adaptability and offer using models and methods of artificial intelligence in these cases.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Simulation remains one of the most popular and sometimes the only method of investigation of the complex dynamical systems nowadays. The problems become more and more complicate and so simulation models become complicate and large scale too. So the modelers have to reduce the time of simulation run and overall time of the simulation model design, it's verification, validation and simulation experiment. The authors believe that the problem of efficiency and flexibility of simulation systems (program tools and linguistic construction) can be solved through it's automation and intellectualization. This paper discusses the problem of design and implementation of the distributed and parallel simulation systems using the power of several compute nodes of computer network (or cluster or multiprocessor computer). Authors suggest original approach to the synchronization and load balancing of the objects of distributed simulation model. Furthermore authors consider the problem of reduction of time needed to design and to debug a simulation model, the problems of the simulation tools adaptability and offer using models and methods of artificial intelligence in these cases.

Key concepts: Computer science, Flexibility (engineering), Synchronization (alternating current), Debugging, Distributed computing, Adaptability, Intellectualization, Automation

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