A Service-based Framework for Building and Executing Epidemic Simulation Applications in the Cloud
Résumé
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 Mycobac- terium avium subspecies paratuberculosis, into elastic, cloud-native applications. Experimental results show that the framework enhances application performance and allows exploring differ- ent cost-performance trade-offs while supporting automatic failure handling and elastic resource acquisition from multiple clouds.
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