The potential of cloud computing is still underutilised in the scientific computing field. Even if clouds probably are not fit for high-end HPC applications, they could be profitably used to bring the power of low-cost and scalable parallel computing to the masses. But this requires simple and friendly development environments, able to exploit cloud scalability and to provide fault tolerance. This paper presents a framework built on the top of a cloud-aware platform (mOSAIC) for the development of bag-of-tasks scientific applications. The architecture of the framework is thoroughly described, and the results of performance tests on a combinatorial optimisation application are discussed, evaluating the overhead introduced by the platform and by the cloud environment.

A framework for cloud-aware development of bag-of-tasks scientific applications

RAK, Massimiliano;
2016

Abstract

The potential of cloud computing is still underutilised in the scientific computing field. Even if clouds probably are not fit for high-end HPC applications, they could be profitably used to bring the power of low-cost and scalable parallel computing to the masses. But this requires simple and friendly development environments, able to exploit cloud scalability and to provide fault tolerance. This paper presents a framework built on the top of a cloud-aware platform (mOSAIC) for the development of bag-of-tasks scientific applications. The architecture of the framework is thoroughly described, and the results of performance tests on a combinatorial optimisation application are discussed, evaluating the overhead introduced by the platform and by the cloud environment.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/363555
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