TY  - INPR
ID  - SisLab3561
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3561/
A1  - Parlavantzas, Nikos
A1  - Pham, Manh Linh
A1  - Morin, Christine
A1  - Arnoux, Sandie
A1  - Beaunée, Gaël
A1  - Qi, Luyuan
A1  - Gontier, Philippe
A1  - Ezanno, Pauline
Y1  - 2019/09//
N2  - The cloud has emerged as an attractive platform for resource-intensive scientific applications, such as epidemic simulators. However, building and executing such applications in the cloud presents multiple challenges, including exploiting elasticity, handling failures, and simplifying multi-cloud deployment. To address these challenges, this paper proposes a novel, service-based framework called DiFFuSE that enables simulation applications with a bag-of-tasks structure to fully exploit cloud platforms. The paper describes how the framework is applied to restructure two legacy applications, simulating the spread of bovine viral diarrhea virus and Mycobacterium avium subspecies paratuberculosis, into elastic, cloud-native applications. Experimental results show that the framework enhances application performance and allows exploring different cost-performance trade-offs while supporting automatic failure handling and elastic resource acquisition from multiple clouds.
PB  - John Wiley & Sons Inc
JF  - Concurrency and Computation: Practice and Experience
KW  - Cloud computing; High Performance Computing; Simulation models; Epidemic simulation
SN  - 1532-0626
TI  - A Service-based Framework for Building and Executing Epidemic Simulation Applications in the Cloud
AV  - public
ER  -