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Journal Article 에이전트 기반 모델링 및 시뮬레이션을 위한 컴퓨팅 인프라 기술 동향
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Authors
정영우, 손석호, 오병택, 이규철, 배승조, 김병섭, 강동재, 정영준
Issue Date
2018-10
Citation
전자통신동향분석, v.33, no.5, pp.111-120
ISSN
1225-6455
Publisher
한국전자통신연구원 (ETRI)
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2018.J.330512
Abstract
Agent-based modeling and simulation (ABMS) is a computational method for analyzing research targets through observations of agent-to-agent interactions, and can be applied to multidimensional policy experiments in various fields of social sciences to support policy and decision making. Recently, according to increasing complexity of society and the rapid growth of collected data, the need for high-speed processing is considered to be more important in this field. For this reason, in the ABMS research field, a scalable and large-scale computing infrastructure is becoming an essential element, and cloud computing has been considered a promising infrastructure of ABMS. This paper surveys the technology trends of ABMS tools, cloud computing-based modeling, and simulation studies, and forecasts the use of cloud-computing infrastructure for future modeling and simulation tools. Although fundamental studies are underway to apply and operate cloud computing in the areas of modeling and simulation, new and additional studies are required to devise an optimal cloud computing infrastructure to satisfy the needs of large-scale ABMS..
KSP Keywords
Agent-Based Modeling and Simulation, Cloud computing infrastructures, Computational method, Essential element, Fundamental studies, High Speed, Modeling and simulation tools, Simulation study, Social Sciences, Support policy, Technology trends
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
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