scholarly journals Parallel and Distributed Agent-based Simulation of Large-scale Socio-technical Systems with Loosely Coupled Virtual Machines

2021 ◽  
Author(s):  
Stefan Bosse
Keyword(s):  
Large Scale ◽  
Virtual Machines ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Loosely Coupled ◽  
Technical Systems

PARALLEL AGENT-BASED SIMULATION ON A CLUSTER OF WORKSTATIONS

2003 ◽  
Vol 13 (04) ◽  
pp. 629-641 ◽  
Author(s):  
Konstantin Popov ◽  
Mahmoud Rafea ◽  
Fredrik Holmgren ◽  
Per Brand ◽  
Vladimir Vlassov ◽  
...  
Keyword(s):  
Web Sites ◽  
Large Scale ◽  
Parallel Implementation ◽  
Simulation Models ◽  
Agent Based Simulation ◽  
Time Step ◽  
Agent Based ◽  
Simulation Step ◽  
Cluster Of Workstations ◽  
Concurrent Simulation

We discuss a parallel implementation of an agent-based simulation. Our approach allows to adapt a sequential simulator for large-scale simulation on a cluster of workstations. We target discrete-time simulation models that capture the behavior of Web users and Web sites. Web users are connected with each other in a graph resembling the social network. Web sites are also connected in a similar graph. Users are stateful entities. At each time step, they exhibit certain behaviour such as visiting bookmarked sites, exchanging information about Web sites in the "word-of-mouth" style, and updating bookmarks. The real-world phenomena of emerged aggregated behavior of the Internet population is studied. The system distributes data among workstations, which allows large-scale simulations infeasible on a stand-alone computer. The model properties cause traffic between workstations proportional to partition sizes. Network latency is hidden by concurrent simulation of multiple users. The system is implemented in Mozart that provides multithreading, dataflow variables, component-based software development, and network-transparency. Currently we can simulate up to 106 Web users on 104 Web sites using a cluster of 16 computers, which takes few seconds per simulation step, and for a problem of the same size, parallel simulation offers speedups between 11 and 14.

scholarly journals A large-scale, agent-based simulation of metropolitan freight movements with passenger and freight market interactions

2020 ◽  
Vol 170 ◽  
pp. 771-778 ◽  
Author(s):  
Monique Stinson ◽  
Joshua Auld ◽  
Abolfazl (Kouros) Mohammadian
Keyword(s):  
Large Scale ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Market Interactions ◽  
Freight Market

scholarly journals Agent-based simulation for large-scale emergency response

2012 ◽  
Vol 45 (1) ◽  
pp. 1-51 ◽  
Author(s):  
Glenn I. Hawe ◽  
Graham Coates ◽  
Duncan T. Wilson ◽  
Roger S. Crouch
Keyword(s):  
Emergency Response ◽  
Large Scale ◽  
Agent Based Simulation ◽  
Agent Based

scholarly journals An Initial Implementation of Multiagent Simulation of Travel Behavior for a Medium-Sized City in China

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Chengxiang Zhuge ◽  
Chunfu Shao ◽  
Jian Gao ◽  
Meng Meng ◽  
Weiyang Xu
Keyword(s):  
Survey Data ◽  
Travel Behavior ◽  
Input Data ◽  
Large Scale ◽  
Simulation Tool ◽  
Preparation Process ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Multiagent Simulation ◽  
Step Model

Since the traditional four-step model is so simple that it cannot solve complex modern transportation problems, microsimulation is gradually applied for transportation planning and some researches indicate that it is more compatible and realistic. In this paper, a framework of agent-based simulation of travel behavior is proposed, which is realized by MATSim, a simulation tool developed for large-scale agent-based simulation. MATSim is currently developed and some of its models are under training, so a detailed introduction of simulation structure and preparation of input data will be presented. In practice, the preparation process differs from one to another in different simulation projects because the available data for simulation is various. Thus, a simulation of travel behavior under a condition of limited available survey data will be studied based on MATSim; furthermore, a medium-sized city in China will be taken as an example to check whether agent-based simulation of travel behavior can be successfully applied in China.

scholarly journals Analyzing Urban Mobility Carbon Footprint with Large-scale, Agent-based Simulation

2018 ◽  
Author(s):  
Eduardo Felipe Zambom Santana ◽  
Lucas Kanashiro ◽  
Diego Bogado Tomasiello ◽  
Fabio Kon ◽  
Mariana Giannotti
Keyword(s):  
Carbon Footprint ◽  
Large Scale ◽  
Urban Mobility ◽  
Agent Based Simulation ◽  
Agent Based
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