Search: onr:"swepub:oai:DiVA.org:liu-72611" >
A Cloud-Based Simul...
A Cloud-Based Simulation Architecture for Pandemic Influenza Simulation
-
- Eriksson, Henrik (author)
- Linköpings universitet,MDALAB - Human Computer Interfaces,Tekniska högskolan
-
- Raciti, Massimiliano (author)
- Linköpings universitet,Institutionen för datavetenskap,Tekniska högskolan,Real-time Systems Laboratory
-
- Basile, Maurizio (author)
- Linköpings universitet,Institutionen för datavetenskap,Tekniska högskolan
-
show more...
-
- Cunsolo, Alessandro (author)
- Linköpings universitet,Institutionen för datavetenskap,Tekniska högskolan
-
- Fröberg, Anders (author)
- Linköpings universitet,MDALAB - Human Computer Interfaces,Tekniska högskolan
-
- Leifler, Ola (author)
- Linköpings universitet,MDALAB - Human Computer Interfaces,Tekniska högskolan
-
- Ekberg, Joakim (author)
- Linköpings universitet,Socialmedicin och folkhälsovetenskap,Hälsouniversitetet
-
- Timpka, Toomas (author)
- Linköpings universitet,Socialmedicin och folkhälsovetenskap,Hälsouniversitetet
-
show less...
-
(creator_code:org_t)
- Curran, 2011
- 2011
- English.
-
In: AMIA Annual Symposium Proceedings 2011. - : Curran. - 9781618396082 ; , s. 364-373
- Related links:
-
https://urn.kb.se/re...
Abstract
Subject headings
Close
- High-fidelity simulations of pandemic outbreaks are resource consuming. Cluster-based solutions have been suggested for executing such complex computations. We present a cloud-based simulation architecture that utilizes computing resources both locally available and dynamically rented online. The approach uses the Condor framework for job distribution and management of the Amazon Elastic Computing Cloud (EC2) as well as local resources. The architecture has a web-based user interface that allows users to monitor and control simulation execution. In a benchmark test, the best costadjusted performance was recorded for the EC2 H-CPU Medium instance, while a field trial showed that the job configuration had significant influence on the execution time and that the network capacity of the master node could become a bottleneck. We conclude that it is possible to develop a scalable simulation environment that uses cloud-based solutions, while providing an easy-to-use graphical user interface.
Publication and Content Type
- ref (subject category)
- kon (subject category)
Find in a library
To the university's database