Title
Developing a Distributed Agent-Based and DES Simulation Using poRTIco and Repast
Abstract
Simulation modeling is a significant tool for systems analysis that is being used in industry and services for several years. As the world becomes more connected, organizations complexity increases and traditional simulation techniques often are inadequate to represent modern problems. Moreover, simulation building requires high-skilled modelers and experimentation with large-scale simulations is highly computation intensive exercise. Distributed simulation, by enabling experimentation across multiple processors over a network or the cloud, has the potential to provide solution for the required computation capacity. Additionally, reusability of models is supported by enabling individual models to interoperate. In this paper we demonstrate the development of a distributed hybrid agent-based and discrete event simulation using high level architecture (HLA) technology. We implemented our project in open source software which has the advantage of cost-free access and source code accessibility. Using emergency medical services as exemplar case study, we developed an agent-based model of an ambulance service and several discrete event simulations of accident and emergency departments using Repast toolkit. The interface runtime infrastructure was developed in portico software. We tested the performance of the 1.3 and the Evolved version of the IEEE 1516 HLA standard. The yielded results show that the overall performance of both HLA versions is satisfying. However, interestingly, HLA 1.3 performs better on a single processor while HLA Evolved demonstrates better performance when executing in a network.
Year
DOI
Venue
2013
10.1109/DS-RT.2013.18
DS-RT
Keywords
Field
DocType
large-scale simulation,discrete event simulation,hla standard,traditional simulation technique,simulation modeling,hla evolved,hla version,simulation building,des simulation,overall performance,better performance,systems analysis,distributed processing,public domain software,multi agent systems,portico
Source code,Interoperability,Computer science,Systems analysis,Multi-agent system,Real-time computing,Software,Discrete event simulation,High-level architecture,Distributed computing,Cloud computing
Conference
ISSN
Citations 
PageRank 
1550-6525
6
0.61
References 
Authors
9
3
Name
Order
Citations
PageRank
Athar Nouman1232.41
Anastasia Anagnostou26812.07
S. J.E. Taylor355167.71