A user interface for large-scale demographic simulation

Cristina Montanola-Sales, Josep Casanovas-Garcia, Bhakti S.S. Onggo, Zengxiang Li

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Agent-based modeling is one of the promising modeling tools that can be used in the study of population dynamics. Two of the main obstacles hindering the use of agent-based simulation in practice are its scalability when the analysis requires large-scale models as in policy research, and its ease-of-use especially for users with no programming experience. While there has been a significant work on the scalability issue, ease-of-use aspect has not been addressed in the same intensity. This paper presents a graphical user interface designed for a simulation tool which allows modelers with no programming background to specify agent-based demographic models and run them on parallel environments. The interface eases the definition of models to describe individual and group dynamics processes with both qualitative and quantitative data. The main advantage is to allow users to transparently run the models on high performance computing infrastructures.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, CloudCom 2014
EditorialIEEE Computer Society
Páginas723-726
Número de páginas4
EdiciónFebruary
ISBN (versión digital)9781479940936
DOI
EstadoPublicada - 9 feb 2015
Publicado de forma externa
Evento2014 6th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2014 - Singapore, Singapur
Duración: 15 dic 201418 dic 2014

Serie de la publicación

NombreProceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
NúmeroFebruary
Volumen2015-February
ISSN (versión impresa)2330-2194
ISSN (versión digital)2330-2186

Conferencia

Conferencia2014 6th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2014
País/TerritorioSingapur
CiudadSingapore
Período15/12/1418/12/14

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