Paper Info
Title
DiFFuSE, a Distributed Framework for Cloud-Based Epidemic Simulations: A Case Study in Modelling the Spread of Bovine Viral Diarrhea Virus
Abstract
Performing large-scale epidemic simulations is time-consuming and requires massive amounts of computing resources. An attractive option for providing such resources is cloud computing. However, fully exploiting cloud resources requires converting existing simulation applications into elastic, cloud-enabled applications. To this end, this paper proposes a novel service-based framework for building and executing epidemic simulations in the cloud and describes how the framework was applied to build a cloud-enabled simulation of the spread of the bovine viral diarrhea virus. The paper provides experimental evidence that the framework increases performance and allows exploring cost-performance trade-offs while automatically handling failures and supporting elastic allocation of resources from multiple clouds.
Year
DOI
Venue
2017
10.1109/CloudCom.2017.41
2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
Keywords
Field
DocType
DiFFuSE,distributed framework,cloud resources,cloud-based epidemic simulations,multiple clouds,cost-performance trade-offs,elastic cloud,simulation applications,cloud computing,computing resources,large-scale epidemic simulations,bovine viral diarrhea virus
Cloud resources,Computer science,Resource allocation,Viral diarrhea,Cloud computing,Distributed computing
Conference
ISSN
ISBN
Citations 
2330-2194
978-1-5386-0693-3
0
PageRank 
References 
Authors
0.34
3
7
Name
Order
Citations
PageRank
Linh Manh Pham1224.80
Nikos Parlavantzas246047.62
Christine Morin322626.78
Sandie Arnoux400.68
Luyuan Qi500.34
Philippe Gontier600.34
Pauline Ezanno742.14