Enabling Cloud-Based Computational Fluid Dynamics With a Platform-as-a-Service Solution

被引:23
作者
Taylor, Simon J. E. [1 ]
Anagnostou, Anastasia [1 ]
Kiss, Tamas [2 ]
Terstyanszky, Gabor [2 ]
Kacsuk, Peter [3 ]
Fantini, Nicola [4 ]
Lakehal, Djamel [5 ]
Costes, Joris [6 ,7 ]
机构
[1] Brunel Univ London, Dept Comp Sci, Modelling & Simulat Grp, Uxbridge UB8 3PH, Middx, England
[2] Univ Westminster, Ctr Parallel Comp, London W1W 6UW, England
[3] MTA SZTAKI, H-1132 Budapest, Hungary
[4] CloudBroker GmbH, CH-8005 Zurich, Switzerland
[5] Ascomp GmbH, CH-8005 Zurich, Switzerland
[6] CMLA, ENS Paris Saclay, F-94235 Cachan, France
[7] CNRS, F-94235 Cachan, France
关键词
Cloud computing; computational fluid dynamics; fluid mechanics; high-performance computing; modeling and simulation; CFD CODE; TAXONOMY; FUTURE; FLOW;
D O I
10.1109/TII.2018.2849558
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Computational fluid dynamics (CFD) is widely used in manufacturing and engineering from product design to testing. CFD requires intensive computational power and typically needs high-performance computing to reduce potentially long experimentation times. Dedicated high-performance computing systems are often expensive for small-to-medium enterprises (SMEs). Cloud computing claims to enable low-cost access to high-performance computing without the need for capital investment. The cloud-based simulation platform for manufacturing and engineering simulation platform aims to provide a flexible and easy to use cloud-based platform-as-a-service (PaaS) technology that can enable SMEs to realize the benefits of high-performance computing. Our platform incorporates workflow management and multicloud implementation across various cloud resources. Here, we present the components of our technology and experiences in using it to create a cloud-based version of the Transport phenomena Analysis Tool CFD software. Three case studies favourably compare the performance of a local cluster and two different clouds and demonstrate the viability of our cloud-based approach.
引用
收藏
页码:85 / 94
页数:10
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