Economic Impact of HEMOS-Cloud Services for M&S Support


KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 10, pp. 261-268, Oct. 2021
https://doi.org/10.3745/KTCCS.2021.10.10.261,   PDF Download:
Keywords: Modeling & Simulation, Cloud computing, CAE, Engineering, Manufacturing Industry
Abstract

Cloud computing is a computing paradigm in which users can utilize computing resources in a pay-as-you-go manner. In a cloud system, resources can be dynamically scaled up and down to the user’s on-demand so that the total cost of ownership can be reduced. The Modeling and Simulation (M&S) technology is a renowned simulation-based method to obtain engineering analysis and results through CAE software without actual experimental action. In general, M&S technology is utilized in Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), Multibody dynamics (MBD), and optimization fields. The work procedure through M&S is divided into pre-processing, analysis, and post-processing steps. The pre/post-processing are GPU-intensive job that consists of 3D modeling jobs via CAE software, whereas analysis is CPU or GPU intensive. Because a general-purpose desktop needs plenty of time to analyze complicated 3D models, CAE software requires a high-end CPU and GPU-based workstation that can work fluently. In other words, for executing M&S, it is absolutely required to utilize high-performance computing resources. To mitigate the cost issue from equipping such tremendous computing resources, we propose HEMOS-Cloud service, an integrated cloud and cluster computing environment. The HEMOS-Cloud service provides CAE software and computing resources to users who want to experience M&S in business sectors or academics. In this paper, the economic ripple effect of HEMOS-Cloud service was analyzed by using industry-related analysis. The estimated results of using the experts-guided coefficients are the production inducement effect of KRW 7.4 billion, the value-added effect of KRW 4.1 billion, and the employment-inducing effect of 50 persons per KRW 1 billion.


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Cite this article
[IEEE Style]
J. D. Yong, S. D. Woo, H. J. Soon, P. S. Uk, K. M. Il, "Economic Impact of HEMOS-Cloud Services for M&S Support," KIPS Transactions on Computer and Communication Systems, vol. 10, no. 10, pp. 261-268, 2021. DOI: https://doi.org/10.3745/KTCCS.2021.10.10.261.

[ACM Style]
Jung Dae Yong, Seo Dong Woo, Hwang Jae Soon, Park Sung Uk, and Kim Myung Il. 2021. Economic Impact of HEMOS-Cloud Services for M&S Support. KIPS Transactions on Computer and Communication Systems, 10, 10, (2021), 261-268. DOI: https://doi.org/10.3745/KTCCS.2021.10.10.261.