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Journal Articles Concurrency and Computation: Practice and Experience Year : 2019

A Service-based Framework for Building and Executing Epidemic Simulation Applications in the Cloud

Abstract

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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Dates and versions

hal-02312313 , version 1 (15-10-2019)

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Nikos Parlavantzas, Linh Manh Pham, Christine Morin, Sandie Arnoux, Gael Beaunée, et al.. A Service-based Framework for Building and Executing Epidemic Simulation Applications in the Cloud. Concurrency and Computation: Practice and Experience, 2019, 32 (5), pp.e5554. ⟨10.1002/cpe.5554⟩. ⟨hal-02312313⟩
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