Design and implementation of neutronics computing cloud platform based on SaaS mode
NUCLEAR ENERGY SCIENCE AND ENGINEERING|更新时间:2024-10-25
|
Design and implementation of neutronics computing cloud platform based on SaaS mode
NUCLEAR TECHNIQUESVol. 42, Issue 10, (2019)
作者机构:
1.中国科学院核能安全技术研究所 中子输运理论与辐射安全重点实验室 合肥 230031
2.中国科学技术大学 合肥 230027
作者简介:
LI Zhongyang, male, born in 1989, graduated from Beijing University of Aeronautics and Astronautics in 2013, focusing on nuclear energy cloud computing
SONG Jing, E-mail: jing.song@fds.org.cn
基金信息:
National Natural Science Foundation of China(11605233;51805511;71671179);the National Magnetic Confinement Fusion Science Program of China(2015GB116000);the Project of Anhui Province(18030801135);the project of HIPS(KP-2019-13;KP-2017-19);the President of Chinese Academy of Sciences Foundation for Young Spark Project(YZJJ201618);Special Project of Youth Innovation Promotion Association of Chinese Academy of Sciences
LI Zhongyang,WU Bin,YU Shengpeng,et al.Design and implementation of neutronics computing cloud platform based on SaaS mode[J].NUCLEAR TECHNIQUES,2019,42(10):89-94.
LI Zhongyang,WU Bin,YU Shengpeng,et al.Design and implementation of neutronics computing cloud platform based on SaaS mode[J].NUCLEAR TECHNIQUES,2019,42(10):89-94. DOI: 10.11889/j.0253-3219.2019.hjs.42.100604.
Design and implementation of neutronics computing cloud platform based on SaaS mode
高保真中子学计算需要大量计算资源和高性能计算平台,而高性能计算平台操作比较繁琐,不利于设计人员使用。云平台具有超大规模、弹性服务、按需服务、易用、泛在接入等特点,对中子学计算具有较好的应用价值。本文结合云计算技术,设计研发了基于SaaS(Software as a Service)模式的中子学计算云平台,将中子学计算功能及相关数据库设置在云端运行,向终端用户提供SaaS模式计算服务。用户通过浏览器可随时随地使用计算资源,有效地提高核设计计算的工作效率。
Abstract
Background
2
The high-fidelity nuclear reactor model requires a large amount of computing resources and a high-performance computing platform. High-performance computing platforms are cumbersome to operate and are not conducive to designers
while the cloud platform has the characteristics of super large scale and easy to use
hence has good application value for neutronics calculation.
Purpose
2
This study aims to establish a neutron computing cloud platform for users.
Methods
2
Combined with cloud computing technology
a neutron computing cloud platform based on Software as a Service (SaaS) mode was designed and implemented. Neutronics computing functions and related databases were set up to run in the cloud to provide SaaS mode computing services for end users.
Results
2
Users can use computing resources anytime and anywhere through the browsers to effectively improve the efficiency of neutronics calculation.
Conclusions
2
The cloud platform proposed in this paper can be used for general nuclear design computation.
关键词
Keywords
references
Smith K . Monte Carlo for practical LWR analysis: what is needed to get to the goal [C ] . M&C Division Computational Roundtable , American Nuclear Society Summer Meeting , Hollywood , FL , 2011 .
Cunha A , Nasser R , Sampaio R , et al . Uncertainty quantification through the Monte Carlo method in a cloud computing setting [J ] . Computer Physics Communications , 2014 , 185 : 1355 - 1363 . DOI: 0.1016/j.cpc.2014.01.006 http://dx.doi.org/0.1016/j.cpc.2014.01.006 .
Tolga D , Tim D , Ernst J , et al . Cloud mapreduce for Monte Carlo bootstrap applied to metabolic flux analysis [J ] . Future Generation Computer Systems , 2013 , 29 : 582 - 590 . DOI: 10.1016/j.future.2011.10.007 http://dx.doi.org/10.1016/j.future.2011.10.007 .
Miras H , Jimenez , R Miras C , et al . CloudMC: a cloud computing application for Monte Carlo simulation [J ] . Physics in Medicine and Biology , 2013 , 58 : N125 -N 133 . DOI: 10.1088/0031-9155/58/8/N125 http://dx.doi.org/10.1088/0031-9155/58/8/N125 .
Wang H , Ma Y , Paratx G , et al . Toward real-time Monte Carlo simulation using a commercial cloud computing infrastructure [J ] . Physics in Medicine and Biology , 2011 , 56 : N175 -N 181 . DOI: 10.1088/0031-9155/56/17/N02 http://dx.doi.org/10.1088/0031-9155/56/17/N02 .
Wu Y C . Neutronics of advanced nuclear systems [M ] . Springer Science & Business Media , 2019 .
Wu Y C . Development and application of virtual nuclear power plant in digital society environment [J ] . International Journal of Energy Research , 2019 , 43 ( 4 ): 1521 - 1533 . DOI: 10.1002/er.4378 http://dx.doi.org/10.1002/er.4378 .
Wu Y C . Multi-functional neutronics calculation methodology and program for nuclear design and radiation safety evaluation [J ] . Fusion Science and Technology , 2018 , 74: 4 , 321 - 329 .
Ren Q , Hu L Q , Wu Y C , et al . A method for direct conversion of EPID images to incident fluence for dose reconstruction [J ] . Nuclear Science and Techniques , 2015 , 26 ( 05 ): 29 - 34 . DOI: 10.13538/j.1001-8042/nst.26.050201 http://dx.doi.org/10.13538/j.1001-8042/nst.26.050201 .
Wang J , Hu L Q , Wu Y C , et al . A multiphase direct aperture optimization for inverse planning in radiotherapy [J ] . Nuclear Science and Techniques , 2015 , 26 ( 01 ): 48 - 53 . DOI: 10.1016/S0167-8140(15)32587-1 http://dx.doi.org/10.1016/S0167-8140(15)32587-1 .
Zhao K , Hu L Q , Wu Y C , et al . A hybrid voxel sampling method for constructing Rad-HUMAN phantom [J ] . Nuclear Science and Techniques , 2014 , 25 ( 02 ): 1 - 5 . DOI: 10.13538/j.1001-8042/nst.25.020503 http://dx.doi.org/10.13538/j.1001-8042/nst.25.020503 .
Wu Y C , Song J , Zheng H , et al . CAD-based Monte Carlo program for integrated simulation of nuclear system SuperMC [J ] . Annals of Nuclear Energy , 2015 , 82 : 161 - 168 . DOI: 10.1016/j.anucene.2014.08.058 http://dx.doi.org/10.1016/j.anucene.2014.08.058 .
Wu Y C , FDS Team . CAD-based interface programs for fusion neutron transport simulation [J ] . Fusion Engineering and Design , 2009 , 84 ( 7-11 ): 1987 - 1992 . DOI: 10.1016/j.fusengdes.2008.12.041 http://dx.doi.org/10.1016/j.fusengdes.2008.12.041 .
WU Yuican , SONG Jing , HU Liqin , et al . Super multi-functional calculation program for nuclear design and safety evaluation: SuperMC [J ] . Nuclear Science and Engineering , 2016 , 36 ( 01 ): 62 - 71 .
SONG Jing . Research on monte carlo simulation method and code design for advanced nuclear reactors [D ] . HeFei: University of Science and Technology of China , 2014 .
LUO Junzhou , JIN Jiahui , SONG Aibo , et al . Cloud computing: architecture and key technologies [J ] . Journal of Communications , 2011 , 32 ( 07 ): 3 - 21 .