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

Parlavantzas, Nikos and Pham, Manh Linh and Morin, Christine and Arnoux, Sandie and Beaunée, Gaël and Qi, Luyuan and Gontier, Philippe and Ezanno, Pauline (2019) A Service-based Framework for Building and Executing Epidemic Simulation Applications in the Cloud. Concurrency and Computation: Practice and Experience . ISSN 1532-0626 (In Press)

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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.

Item Type: Article
Uncontrolled Keywords: Cloud computing; High Performance Computing; Simulation models; Epidemic simulation
Subjects: Information Technology (IT)
Scopus-indexed journals
ISI-indexed journals
Divisions: Center of Multidisciplinary Integrated Technologies for Field Monitoring (FIMO)
Faculty of Information Technology (FIT)
Depositing User: Dr. Mạnh Linh Phạm
Date Deposited: 01 Oct 2019 03:00
Last Modified: 01 Oct 2019 03:00

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