DocumentCode :
267124
Title :
A User Interface for Large-Scale Demographic Simulation
Author :
Montanola-Sales, Cristina ; Casanovas-Garcia, Josep ; Onggo, Bhakti S. S. ; Zengxiang Li
Author_Institution :
Dept. d´Estadistica i Investigacio Operativa, Univ. Politec. de Catalunya - BarcelonaTech, Barcelona, Spain
fYear :
2014
fDate :
15-18 Dec. 2014
Firstpage :
723
Lastpage :
726
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.
Keywords :
demography; digital simulation; graphical user interfaces; human computer interaction; parallel processing; social sciences computing; software agents; agent-based demographic models; graphical user interface; high performance computing infrastructures; large-scale demographic simulation; parallel environments; population dynamics; simulation tool; Biological system modeling; Computational modeling; Economics; Graphical user interfaces; Sociology; Statistics; agent-based modeling; demographic simulation; parallel simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CloudCom.2014.46
Filename :
7037748
Link To Document :
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