Volume 48 Issue 9
Sep.  2022
Turn off MathJax
Article Contents
QIAN Depei, LUAN Zhongzhi, LIU Yiet al. From grid to 'East-west Computing Transfer' : Constructing national computing infrastructure[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(9): 1561-1574. doi: 10.13700/j.bh.1001-5965.2022.0715(in Chinese)
Citation: QIAN Depei, LUAN Zhongzhi, LIU Yiet al. From grid to "East-west Computing Transfer" : Constructing national computing infrastructure[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(9): 1561-1574. doi: 10.13700/j.bh.1001-5965.2022.0715(in Chinese)

From grid to "East-west Computing Transfer" : Constructing national computing infrastructure

doi: 10.13700/j.bh.1001-5965.2022.0715
More Information
  • Corresponding author: QIAN Depei, E-mail: depeiq@buaa.edu.cn
  • Received Date: 02 Aug 2022
  • Accepted Date: 18 Aug 2022
  • Publish Date: 23 Aug 2022
  • This article gives a review of the evolution of computer use-mode over the time since the invention of modern computers and presents the challenges and tasks in building the national computing infrastructure. The first section of this article provides a brief overview of how computer use-mode has evolved over the past several decades. Then the design and implementation of China's national high performance computing infrastructure CNGrid are introduced. Following that, the trends and new technical challenges in developing the computing infrastructure under the circumstance of the national strategic project of "East-west Computing Transfer" are discussed. Finally, the perspectives of building the supercomputing eco-system and constructing the new type of computing infrastructure in China are presented.

     

  • loading
  • [1]
    DENNIS J. Segmentation and the design of multiprogrammed computer systems[J]Journal of the ACM, 1965, 12(4): 589-602. doi: 10.1145/321296.321310
    [2]
    SACKMAN H. Time-sharing versus batch processing: The experimental evidence[C]//Proceedings of the American Federation of Information Processing Societies. New York: ACM, 1968: 1-10.
    [3]
    SCHWARTZ J, COFFMAN E, WEISSMAN C. A general-purpose time-sharing system[C]//Proceedings of the American Federation of Information Processing Societies. New York: ACM, 1964: 397-411.
    [4]
    MILLS D L, BRAUN H. The NSFNET backbone network[C]//Proceedings of the ACM Workshop on Frontiers in Computer Communications Technology. New York: ACM, 1987: 191-196.
    [5]
    FOSTER I T, KESSELMAN C. The grid: Blueprint for a new computing infrastructure[M]. San Francisco: Morgan Kaufman Publishers, 1998.
    [6]
    STEVENS R, WOODWARD P, DEFANTI T, et al. From the I-WAY to the national technology grid[J]. Communications of the ACM, 1997, 40(11): 50-60. doi: 10.1145/265684.265692
    [7]
    THOMAS M, BOISSEAU J, DAHAN M, et al. Development of NPACI grid application portals and portal Web services[J]. Cluster Computing, 2003, 6(3): 177-188. doi: 10.1023/A:1023566402391
    [8]
    FOSTER I, CZAJKOWSKI K, FERGUSON D, et al. Modeling and managing state in distributed systems: The role of OGSI and WSRF[J]. Proceedings of the IEEE, 2005, 93(3): 604-612. doi: 10.1109/JPROC.2004.842766
    [9]
    TALIA D. The open grid services architecture: Where the grid meets the Web[J]. IEEE Internet Computing, 2002, 6(6): 67-71. doi: 10.1109/MIC.2002.1067739
    [10]
    FOSTER I, KESSELMAN C. Globus: A metacomputing infrastructure toolkit[J]. International Journal of Supercomputer Application, 1998, 11(2): 115-129.
    [11]
    REED D.A. Grids, the TeraGrid, and beyond[J]. IEEE Computer, 2003, 36(1): 62-68. doi: 10.1109/MC.2003.1160057
    [12]
    KUNSZT P. European DataGrid project: Status and plans[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2003, 502(2-3): 376-381. doi: 10.1016/S0168-9002(03)00447-9
    [13]
    GAGLIARDI F, JONES B, GREY F, et al. Building an infrastructure for scientific grid computing: Status and goals of the EGEE project[J]. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2005, 363(1833): 1729-1742. doi: 10.1098/rsta.2005.1603
    [14]
    HEY T, TREFETHEN A E. The UK e-Science core programme and the grid[J]. Future Generation Computer Systems, 2002, 18(8): 1017-1031. doi: 10.1016/S0167-739X(02)00082-1
    [15]
    MATSUOKA S, SHINJO S, AOYAGI M, et al. Japanese computational grid research project: NAREGI[J]. Proceedings of the IEEE, 2005, 93(3): 522-533. doi: 10.1109/JPROC.2004.842748
    [16]
    ARMBRUST M, FOX A, GRIFFITH R, et al. Above the clouds: A Berkeley view of cloud computing: UCB/EECS-2009-28[R]. Berkeley: EECS Department University of California, Berkeley Technical Report, 2009.
    [17]
    SARASWAT M, TRIPATHI R C. Cloud computing: Analysis of top 5 CSPs in SaaS, PaaS and IaaS platforms[C]//2020 9th International Conference on System Modeling and Advancement in Research Trends, 2020: 20421390.
    [18]
    SOTOMAYOR B, MONTERO R, LLORENTE I, et al. Virtual infrastructure management in private and hybrid clouds[J]. IEEE Internet Computing, 2009, 13(5): 14-22. doi: 10.1109/MIC.2009.119
    [19]
    BARIK R, LENKA R, RAO K, et al. Performance analysis of virtual machines and containers in cloud computing[C]//2016 International Conference on Computing, Communication and Automation. Piscataway: IEEE Press, 2016: 16585534.
    [20]
    SIMONS J. HPC cloud bad; HPC in the cloud good[C]//2013 IEEE 27th International Symposium on Parallel and Distributed Processing. Piscataway: IEEE Press, 2013: 13683523.
    [21]
    MOR N. Edge computing: Scaling resources within multiple administrative domains[J]. Queue, 2018, 16(6): 106-116. doi: 10.1145/3305263.3313377
    [22]
    乔健, 查礼. 中国国家网格作业管理设计与实现[J]. 计算机应用, 2008, 28(8): 2003-2009. https://www.cnki.com.cn/Article/CJFDTOTAL-JSJY200808030.htm

    QIAO J, ZHA L. Design and implementation of grid job management for China national grid[J]. Computer Applications, 2008, 28(8): 2003-2009(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JSJY200808030.htm
    [23]
    王小宁, 肖海力, 曹荣强. 面向高性能计算环境的作业优化调度模型的设计与实现[J]. 计算机工程与科学, 2017, 39(4): 619-626. doi: 10.3969/j.issn.1007-130X.2017.04.002

    WANG X N, XIAO H L, CAO R Q. Design and implementation of an optimal job scheduling model for the high performance computing environment[J]. Computer Engineering & Science, 2017, 39(4): 619-626(in Chinese). doi: 10.3969/j.issn.1007-130X.2017.04.002
    [24]
    喻林, 邹永强, 查礼. CNGrid GOS安全: 设计与实现[J]. 华中科技大学学报(自然科学版), 2010, 38(S1): 6-10. https://www.cnki.com.cn/Article/CJFDTOTAL-HZLG2010S1003.htm

    YU L, ZOU Y Q, ZHA L. CNGrid GOS security: Design and implementation[J]. Journal of Huazhong University of Science & Technology (Natural Science Edition), 2010, 38(S1): 6-10 (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HZLG2010S1003.htm
    [25]
    SEVILLA J, VILLALOBOS P, C ERON J, et al. Parameter, compute and data trends in machine learning[EB/OL]. [2022-05-30]. https://docs.google.com/spreadsheets/d/1AAIebj NsnJj_uKALHbXNfn3_YsT6sHXtCU0q7OIPuc4.
    [26]
    TOP500 list[EB/OL]. [2022-06-20]. https://top500.org/lists/top500/2022/06/.
    [27]
    BONAWITZ K, EICHNER H, GRIESKAMP W, et al. Towards federated learning at scale: System design[C]//Proceedings of the Conference on Machine Learning and Systems. Piscataway: IEEE Press, 2019: 1-15.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(5)  / Tables(4)

    Article Metrics

    Article views(320) PDF downloads(61) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return