@inproceedings{ec147eeb9a754516b3f2d7ceba1f8c7d,
title = "Abstraction on network model under interoperable simulation environment",
abstract = "This paper proposes a method for abstraction of a network model that enables a reduction of simulation execution time under the interoperable military system simulation environment that consists of two models: the network model and computer-generated forces (CGF) model. This paper illustrates the 1) overall procedure of abstraction and 2) empirical analysis. In the abstraction step, our approach uses the information between the two models and, as well as of the network model, unlike previous research. To show how the procedure can be applied, we first implement the CGF model, network model, and interoperable simulation environment. Then, we apply our method to the simulation environment in a case study by comparing with previous study in terms of accuracy and speed. From the empirical results, we can draw the conclusion that the accuracy of the simulation is significantly enhanced by sacrificing a little execution time within an acceptable range. In closing, we expect that this approach will help people conduct replication simulations that require long execution times in one execution.",
keywords = "Abstrcation of network model, Interoperable simulation environment, Metamodeling, Simulation execution time",
author = "Kang, \{Bong Gu\} and Kim, \{Byeong Soo\} and Kim, \{Tag Gon\}",
note = "Publisher Copyright: {\textcopyright} ECMS Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors).; 30th European Conference on Modelling and Simulation, ECMS 2016 ; Conference date: 31-05-2016 Through 03-06-2016",
year = "2016",
doi = "10.7148/2016-0460",
language = "English",
series = "Proceedings - 30th European Conference on Modelling and Simulation, ECMS 2016",
publisher = "European Council for Modelling and Simulation",
pages = "460--466",
editor = "Thorsten Claus and Frank Herrmann and Michael Manitz and Oliver Rose",
booktitle = "Proceedings - 30th European Conference on Modelling and Simulation, ECMS 2016",
}