Nghiên cứu xây dựng hệ thống tính toán hiệu năng cao phục vụ triển khai các bài toán trong Ðại học thông minh
DOI:
https://doi.org/10.24311/jabes/2020.31.11.1Keywords:
High Performance Computing, Cluster Computing, Docker, Smart University, vHPCAbstract
Digital transformations in education is a topic attracting a lot of attention from many scientists and researchers in recent times. This transformation helps the computerization of the entire process of education management and assessment of the quality of training services become more favorable. Additionally, digital transformations also improve effectiveness in teaching and learning, especially in
E-learning. This is also a premise towards an intelligent ecosystem combining technology with digital-based training services, in which the problem of building smart university is a possible solution. To perform these tasks, it is necessary to have an information technology infrastructure that is strong enough, intelligent enough, and reliable enough to solve problems in the overall framework, in which the construction of a computational system. High Performance Computing will aim to create a foundation for deploying problems with large computational processing needs. However, in some universities in Vietnam, investment in construction and maintenance of such a system faces many difficulties in terms of funding, people... This paper presents a solution to build a high-performance computing system based on available resources using Docker virtualization technology to mobilize computing power from underutilized hardware platforms, defined as a vHPC system. Therefore, this paper proposes an overall perspective when implementing problems smart university.
References
Abdullah, M., Iqbal, W., & Bukhari, F. (2019). Containers vs virtual machines for auto-scaling
multi-tier applications under dynamically increasing workloads. In Bajwa, I., Kamareddine, F., & Costa, A. (Eds), Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, 932. Singapore: Springer. doi: 10.1007/978-981-13-6052-7_14
Bhanage, G., Seskar, I., Zhang, Y., Raychaudhuri, D., & Jain, S. (2011). Experimental evaluation of OpenVZ from a testbed deployment perspective. In Magedanz, T., Gavras, A., Thanh, N. H., Chase, J. S. (eds). Testbeds and Research Infrastructures. Development of Networks and Communities. TridentCom 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 46. Berlin, Heidelberg: Springer. doi: 10.1007/978-3-642-17851-1_7
David, C. (2007). The definitive guide to the xen hypervisor (Prentice Hall open source software development series). US: Prentice Hall.
De Bayser, M., & Cerqueira, R. (2017). Integrating MPI with Docker for HPC. Paper presented at the 2017 IEEE International Conference on Cloud Engineering (IC2E). doi: 10.1109/IC2E.2017.40
Finn, A. (2010). Mastering Hyper-V Deployment. US: John Wiley & Sons.
Habib, I. (2008). Virtualization with KVM. Linux Journal, 166(8).
Hồ Văn Ngọc. (2017). Ứng dụng công nghệ ảo hóa trong việc tối ưu hóa cơ sở hạ tầng công nghệ thông tin. Tạp chí Khoa học trường Đại học Văn Hiến, 5(5), 112–118.
Jin, S. (2009). VMware VI and vSphere SDK: Managing the VMware infrastructure and vSphere. US: Pearson Education.
Jin, Y., Wen, Y., & Chen, Q. (2012). Energy Efficiency and Server Virtualization in Data Centers: An Empirical Investigation. Paper presented at the 2012 Proceedings IEEE INFOCOM Workshops. doi: 10.1109/INFCOMW.2012.6193474
Khattar, R. K., Murphy, M. S., Tarella, G. J., & Nystrom, K. E. (1999). Introduction to Storage Area Network, SAN. California: IBM Corporation, International Technical Support Organization.
Kusnetzky, D. (2011). Virtualization: A Manager's Guide. CA: O'Reilly Media Inc.
Lee, H. (2014). Virtualization basics: Understanding techniques and fundamentals. In School of Informatics and Computing Indiana University. Retrieved from http://cgl.soic.iu.edu/publications/virtualization.pdf
Thoại Nam. (2017). Nghiên cứu thiết kế hệ thống tính toán hiệu năng cao 50-100 TFlops. Đề tài nghiên cứu khoa học cấp trường, Trường Đại học Bách khoa, Đại học Quốc gia TP. Hồ Chí Minh.
Nguyễn Chí Ngọc. (2020). Ứng dụng công nghệ ảo hóa và điện toán đám mây để xây dựng hệ thống lưu trữ và truyền hình ảnh (PACS-Cloud) phục vụ kết nối liên thông dữ liệu giữa các bệnh viện. Đề tài nghiên cứu khoa học cấp Bộ, Bộ Công thương.
Nguyễn Thanh Thủy. (2006). Nghiên cứu các hệ thống tính toán hiệu năng cao và ứng dụng mô phỏng vật liệu vi mô. Trong khuôn khổ hợp tác Khoa học Công nghệ theo Nghị định Thư với Ấn Độ giai đoạn 2004–2005.
Tan, G., Yeo, G. K., Turner, S. J., & Teo, Y. M. (Eds.). (2013). AsiaSim 2013. In 13th International Conference on Systems Simulation, Singapore, November 6–8, 2013. Singapore: Springer.
Trần Văn Đoài. (2012). Nghiên cứu hệ thống hạ tầng ảo hóa và công nghệ điện toán đám mây riêng, cung cấp hạ tầng công nghệ thông tin trong ngành tài nguyên và môi trường. Đề tài nghiên cứu công nghệ thông tin cấp Bộ, Cục Công nghệ thông tin và dữ liệu Tài nguyên Môi trường.
Yu, H.-E., & Huang, W. (2015). Building a virtual HPC cluster with auto scaling by the docker. Cornell University. Retrieved from https://arxiv.org/abs/1509.08231
Nwogbaga, N., Mbanefo, E., & Nwoyibe, O. (2016). Critical analysis of cloud computing and its advantages over other computing techniques. Journal Computing, 3(2), 3955–3960.
Li, L. (2015). High Performance Computing Applied to Cloud Computing. Thesis Technology, Communication and Transport Programme in Information Technology, Lapland University of Applied Sciences.
Downloads
Published
Issue
Section
License
Copyright (c) 2020 JOURNAL OF ASIAN BUSINESS AND ECONOMIC STUDIES
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
