Distributed Simulation Platforms and Data Passing Tools for Natural Hazards Engineering: Reviews, Limitations, and Recommendations
Journal
International Journal of Disaster Risk Science
Journal Volume
12
Journal Issue
5
Pages
617-634
Date Issued
2021
Author(s)
Xu L
Lin S.-Y
Hlynka A.W
Lu H
Kamat V.R
Menassa C.C
El-Tawil S
Prakash A
Spence S.M.J
McCormick J.
Abstract
There has been a strong need for simulation environments that are capable of modeling deep interdependencies between complex systems encountered during natural hazards, such as the interactions and coupled effects between civil infrastructure systems response, human behavior, and social policies, for improved community resilience. Coupling such complex components with an integrated simulation requires continuous data exchange between different simulators simulating separate models during the entire simulation process. This can be implemented by means of distributed simulation platforms or data passing tools. In order to provide a systematic reference for simulation tool choice and facilitating the development of compatible distributed simulators for deep interdependent study in the context of natural hazards, this article focuses on generic tools suitable for integration of simulators from different fields but not the platforms that are mainly used in some specific fields. With this aim, the article provides a comprehensive review of the most commonly used generic distributed simulation platforms (Distributed Interactive Simulation (DIS), High Level Architecture (HLA), Test and Training Enabling Architecture (TENA), and Distributed Data Services (DDS)) and data passing tools (Robot Operation System (ROS) and Lightweight Communication and Marshalling (LCM)) and compares their advantages and disadvantages. Three specific limitations in existing platforms are identified from the perspective of natural hazard simulation. For mitigating the identified limitations, two platform design recommendations are provided, namely message exchange wrappers and hybrid communication, to help improve data passing capabilities in existing solutions and provide some guidance for the design of a new domain-specific distributed simulation framework. ? 2021, The Author(s).
Subjects
Civil infrastructure
Data passing tools
Distributed simulation platforms
Hybrid communication
Message exchange wrapper
Natural hazards
computer simulation
hazard assessment
human behavior
infrastructure planning
mitigation
natural hazard
social policy
SDGs
Type
journal article