Computational Experiments Applied for Space System Simulation

2014 ◽  
Vol 529 ◽  
pp. 743-747
Author(s):  
He Ran Tang ◽  
Zheng Yu Wu ◽  
Chen Xue ◽  
Zhi Li

Parallel systems belong to the systems science. In 2004, Fei-Yue Wang proposed parallel systems and ACP theory that artificial society for modeling, computational experiments for analysis, and parallel execution for control. This paper re-expound parallel systems theory by the characteristics of space system and build space system model using computational experiments in the ACP theory and simulate space system by HPC method.

2015 ◽  
Vol 2015 ◽  
pp. 1-27 ◽  
Author(s):  
Bin Chen ◽  
Laobing Zhang ◽  
Gang Guo ◽  
Xiaogang Qiu

This paper addresses the application of a computational theory and related techniques for studying emergency management in social computing. We propose a novel software framework called KD-ACP. The framework provides a systematic and automatic platform for scientists to study the emergency management problems in three aspects: modelling the society in emergency scenario as the artificial society; investigating the emergency management problems by the repeat computational experiments; parallel execution between artificial society and the actual society managed by the decisions from computational experiments. The software framework is composed of a series of tools. These tools are categorized into three parts corresponding to “A,” “C,” and “P,” respectively. Using H1N1 epidemic in Beijing city as the case study, the modelling and data generating of Beijing city, experiments with settings of H1N1, and intervention measures and parallel execution by situation tool are implemented by KD-ACP. The results output by the software framework shows that the emergency response decisions can be tested to find a more optimal one through the computational experiments. In the end, the advantages of the KD-ACP and the future work are summarized in the conclusion.


2020 ◽  
Vol 4 (26) ◽  
pp. 59-66
Author(s):  
A. G. Morozkov ◽  
◽  
M. R. Yazvenko ◽  

The article presents simplified queuing system model of freight marine port. The article discusses the basic elements of queuing system, its mathematical solution and structure. Simulation model was created using AnyLogic to analyze an effect of system capacity on queue length. The results were analyzed and the solution for queue optimization was proposed. Key words: queuing system, simulation modeling, AnyLogic, marine port, servers, queue.


2013 ◽  
Vol 791-793 ◽  
pp. 1476-1479
Author(s):  
Shou Yu Zhang ◽  
Shi Zhen Guo

Research of wartime equipment support simulation faces complex and great challenges. It is very difficult to describe, design and finish the complex giant equipment support simulation system with the traditional simulation and model methods. Proposing a new framework structure based on ACP (artificial systems and computational experiments and parallel execution) approach to solve the complexity giant simulation of RESS (real world equipment support system). Including agent-based model analysis, computational experiments and decision-making problems and etc and discuss an ESASS (equipment support artificial simulation system) platform framework. The work can provide an actionable guidance to equipment support practice simulation research.


2019 ◽  
Vol 04 (02) ◽  
pp. 1950001 ◽  
Author(s):  
Anjee Gorkhali ◽  
Li Da Xu

Systems theory is one of the most important and well-used concept to explain the phenomenon in social sciences. Therefore, systems science plays an important role in explaining many of the phenomena in information systems research. Enterprise Systems (ES), Enterprise Information Systems (EIS) and Enterprise Architecture (EA) are three such emerging technologies in which systems’ perspective plays an important role in explaining the growth and development of these technologies. However, there is lack of literature that illustrates the development and the impact of systems science in these three technologies. This research carefully collects and studies 106 existing literature in the field of ES, EA and EIS, and a summary review of all the latest developments in the ways systems theory has been implemented to these three fields as well as different areas of these three technologies. In the conclusion, three future trends are concluded from the review.


2008 ◽  
Vol 130 (8) ◽  
Author(s):  
Li Chenggong ◽  
Jiao Zongxia

This paper presents the fundamental approaches of modeling thermal-hydraulic component briefly. A set of lumped parameter mathematical models is developed, which are based on conservation of mass and energy. Subsequently, the connection rule for basic thermal-hydraulic components and the method to automatically generate the complete thermal-hydraulic system model are put forward. The integration methods for solving the cross-coupling thermal-hydraulic equations are also discussed for a position-controlled thermal-hydraulic system. Simulation results show the interaction between pressure and temperature. The simplified representations of thermal-hydraulic differential equations are also proposed in this paper, which can reduce simulation time. The validity of the simplified representations is judged by simulation.


2014 ◽  
Vol 1036 ◽  
pp. 881-884
Author(s):  
Mihaela Elisabeta Ciortea

This paper aims to analyze the classical transport system using only two processing centers, maintenance can ensure, without negatively impacting the transportation system optimization. To achieve transport system simulation packages have been used to simulate Petri and implementation specialist and preparing conclusion is made based on data specialist. The model is intended to be a source of help in the activities of companies seeking to optimize the transport system and not be disrupted by achieving maintenance. Benefits are those prototypes and analyze the whole system after the implementation of tracking and being able to control the entire system, leading to the prevention and elimination of queues later appearance possible accidents. Studying this system model can deduce new information without the high costs.


1991 ◽  
Vol 01 (02) ◽  
pp. 157-164
Author(s):  
KIAN-LEE TAN ◽  
HONGJUN LU

In parallel systems, a number of joins from one or more queries can be executed either serially or in parallel. While serial execution assigns all processors to execute each join one after another, parallel execution distributes the joins to clusters formed by certain numbers of processors and executes them concurrently. However, data skew may result in load imbalance among processors executing the same join and some clusters may be overloaded with more expensive joins. As a result, the completion time will be much longer than what is expected. In this paper, we propose an algorithm to further minimize the completion time of concurrently executed multiple joins. For this algorithm, all the joins to be executed concurrently are decomposed into a set of tasks that are ordered according to decreasing task size. These tasks are dynamically acquired by available processors during execution. Our performance study shows that the proposed algorithm outperforms previously proposed approaches, especially when the number of processors increases, the relations are highly skewed and relation sizes are large.


Sign in / Sign up

Export Citation Format

Share Document