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W. Gentzsch, B. Yenier, "Smart Manufacturing: Engineering Simulations in the Cloud", in P. Iványi and B.H.V. Topping, (Editor), "Techniques for Parallel, Distributed and Cloud Computing in Engineering", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 2, pp 9-31, 2015. doi:10.4203/csets.36.2

Keywords: cloud computing, high performance computing, private cloud, public cloud, HPC Cloud, HPC as a Service, CAE, security, small and medium enterprises, software licensing, cost model, UberCloud experiment.

Summary

Designing better quality products, increasing the return on investments, reducing product failure early in design, and shortening the time to market can all be achieved by including computer simulations early in the product life cycle. Engineers and scientists today have access to three computing tools for their simulations: workstations on their desks, in-house computing servers, and cloud computing. All three options have their benefits and limitations. This review examines the benefits and challenges for manufacturers and scientists using CAE in the Cloud. We will also present the UberCloud CAE Experiment which provides a platform for engineers and scientists to discover, explore, and understand the end-to-end process of accessing and using Clouds, and will identify and resolve the roadblocks. The paper concludes with eight real-life engineering case studies.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Computational Science, Engineering & Technology Series ISSN 1759-3158 CSETS: 36 TECHNIQUES FOR PARALLEL, DISTRIBUTED AND CLOUD COMPUTING IN ENGINEERING Edited by: P. Iványi and B.H.V. Topping Chapter 2 Smart Manufacturing: Engineering Simulations in the Cloud W. Gentzsch and B. Yenier The UberCloud, Los Altos, California, United States of America doi:10.4203/csets.36.2 purchase the full-text of this chapter Full Bibliographic Reference for this chapter W. Gentzsch, B. Yenier, "Smart Manufacturing: Engineering Simulations in the Cloud", in P. Iványi and B.H.V. Topping, (Editor), "Techniques for Parallel, Distributed and Cloud Computing in Engineering", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 2, pp 9-31, 2015. doi:10.4203/csets.36.2 Keywords: cloud computing, high performance computing, private cloud, public cloud, HPC Cloud, HPC as a Service, CAE, security, small and medium enterprises, software licensing, cost model, UberCloud experiment. Summary Designing better quality products, increasing the return on investments, reducing product failure early in design, and shortening the time to market can all be achieved by including computer simulations early in the product life cycle. Engineers and scientists today have access to three computing tools for their simulations: workstations on their desks, in-house computing servers, and cloud computing. All three options have their benefits and limitations. This review examines the benefits and challenges for manufacturers and scientists using CAE in the Cloud. We will also present the UberCloud CAE Experiment which provides a platform for engineers and scientists to discover, explore, and understand the end-to-end process of accessing and using Clouds, and will identify and resolve the roadblocks. The paper concludes with eight real-life engineering case studies. purchase the full-text of this chapter (price £20) go to the previous chapter go to the next chapter return to the table of contents return to the book description purchase this book (price £90 +P&P)
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