%A Nikos Parlavantzas
%A Manh Linh Pham
%A Christine Morin
%A Sandie Arnoux
%A Gaël Beaunée
%A Luyuan Qi
%A Philippe Gontier
%A Pauline Ezanno
%J Concurrency and Computation: Practice and Experience
%T A Service-based Framework for Building and Executing Epidemic Simulation Applications in the Cloud
%X 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.
%K Cloud computing; High Performance Computing; Simulation models; Epidemic simulation
%D 2019
%I John Wiley & Sons Inc
%L SisLab3561