Browse > Article
http://dx.doi.org/10.7472/jksii.2020.21.6.123

Establishment and service of user analysis environment related to computational science and engineering simulation platform  

Kwon, Yejin (Department of National Institute of Supercomputing and Networking Center for Computational Science Platform, Korea Institute of Science and Technology Information (KISTI))
Jeon, Inho (Department of National Institute of Supercomputing and Networking Center for Computational Science Platform, Korea Institute of Science and Technology Information (KISTI))
On, Noori (Department of National Institute of Supercomputing and Networking Center for Computational Science Platform, Korea Institute of Science and Technology Information (KISTI))
Seo, Jerry H. (Department of National Institute of Supercomputing and Networking Center for Computational Science Platform, Korea Institute of Science and Technology Information (KISTI))
Lee, Jongsuk R. (Department of National Institute of Supercomputing and Networking Center for Computational Science Platform, Korea Institute of Science and Technology Information (KISTI))
Publication Information
Journal of Internet Computing and Services / v.21, no.6, 2020 , pp. 123-132 More about this Journal
Abstract
The EDucation-research Integration through Simulation On the Net (EDISON) platform, which is a web-based platform that provides computational science and engineering simulation execution environments, can offer various analysis environments to students, general users, as well as computational science and engineering researchers. To expand the user base of the simulation environment services, the EDISON platform holds a challenge every year and attempts to increase the competitiveness and excellence of the platform by analyzing the user requirements of the various simulation environment offered. The challenge platform system in the field of computational science and engineering is provided to users in relation to the simulation service used in the existing EDISON platform. Previously, EDISON challenge servicesoperated independently from simulation services, and hence, services such as end-user review and intermediate simulation results could not be linked. To meet these user requirements, the currently in-service challenge platform for computational science and engineering is linked to the existing computational science and engineering service. In addition, it was possible to increase the efficiency of service resources by providing limited services through various analyses of all users participating in the challenge. In this study, by analyzing the simulation and usage environments of users, we provide an improved challenge platform; we also analyze ways to improve the simulation execution environment.
Keywords
Challenge; Computational Science and Engineering; Platform; Simulation;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Ma, J., Lee, J. R., Cho, K., and Park, M. 2017., "Design and Implementation of Information Management Tools for the EDISON Open Platform", KSII Transactions on Internet and Information Systems, 11, 2, 2017, pp. 1089-1104. https://doi.org/10.3837/tiis.2017.02.026   DOI
2 Suh, Young-Kyoon, et al. "EDISON: A Web-based HPC Simulation Execution Framework for Large-scale Scientific Computing Software." Cluster, Cloud and Grid Computing (CCGrid), 2016 16th IEEE/ACM International Symposium on. IEEE, 2016.
3 Jeon, Inho, et al. "EDISON Nanophysics: Web-based e-Learning platform for education and research in nanoscience." Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2016 10th International Conference on. IEEE, 2016.
4 Farnsworth, Victoria A., et al. "nanoHUB-U: A science gateway ventures into structured online education." 2013 13th IEEE International Conference on Nanotechnology(IEEE-NANO 2013). IEEE, 2013.
5 S. Gesing et al., "Science gateways - leveraging modeling and simulations in HPC infrastructures via increased usability," 2015 International Conference on High Performance Computing & Simulation (HPCS), Amsterdam, pp. 19-26, 2015. https://doi.org/10.1109/HPCSim.2015.7237017   DOI
6 HEITZINGER, Clemens, et al., "Modeling and simulation of field-effect biosensors (BioFETs) and their deployment on the nanoHUB.", In: Journal of Physics: Conference Series. IOP Publishing, pp. 012004, 2008.
7 KLIMECK, Gerhard, et al., "nanohub. org: Advancing education and research in nanotechnology.", Computing in Science & Engineering, vol. 10.5, pp 17-23, 2008.   DOI
8 KLIMECK, Gerhard, et al. nanoHUB. org-online simulation and more materials for semiconductors and nanoelectronics in education and research. In: Nanotechnology, 2008. NANO'08. 8th IEEE Conference on. IEEE, p. 401-404, 2008. https://nanohub.org/tools/CNDO/invoke/38
9 Isobe, Hiroshi, et al. "Spin, valence, and structural isomerismin the S3 state of the oxygen-evolving complex of photosystem II as a manifestation of multimetallic cooperativity." Journal of chemical theory and computation 15.4, pp 2375-2391, 2019.   DOI
10 Hassan, Hanan A., et al. "Impact of using multi-levels of parallelism on HPC applications performance hosted on Azure cloud computing." International Journal of High Performance Computing and Networking 13.3, pp 251-260, 2019.   DOI
11 Romeo Mark A. Mateo, Jaewan Lee, "Dynamic Service Assignment based on Proportional Ordering for the Adaptive Resource Management of Cloud Systems", KSII Transactions on Internet and Information Systems, vol. 5, no. 12, pp. 2294-2314, 2011. https://doi.org/10.3837/tiis.2011.12.002   DOI
12 C. Kim, W. Lee and C. Jeon, "A Resource Reduction Scheme with Low Migration Frequency for Virtual Machines on a Cloud Cluster," KSII Transactions on Internet and Information Systems, vol. 7, no. 6, pp. 1398-1417, 2013. https://doi.org/10.3837/tiis.2013.06.003.   DOI