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https://doi.org/10.1109/cloudc...
Article . 2014 . Peer-reviewed
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A User Interface for Large-Scale Demographic Simulation

Authors: Cristina Montañola-Sales; Josep Casanovas-Garcia; Bhakti S. S. Onggo; Zengxiang Li;

A User Interface for Large-Scale Demographic Simulation

Abstract

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.

Peer Reviewed

Country
Spain
Keywords

Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica, Parallel processing (Electronic computers), Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Interacció home-màquina, Processament en paral·lel (Ordinadors), Demography -- Computer simulation, Graphical users interfaces (Computer systems), Demografia -- Simulació per ordinador, Social simulation, Agent-based modeling, Cloud computing, Interfícies gràfiques d'usuari (Informàtica)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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