数据与计算发展前沿 ›› 2020, Vol. 2 ›› Issue (4): 3-15.

doi: 10.11871/jfdc.issn.2096-742X.2020.04.001

所属专题： 下一代互联网络技术与应用

• 专刊：下一代互联网络技术与应用（下） • 上一篇    下一篇

融合边缘计算的新型科研云服务架构

周旭1(),王浩宇1,2(),覃毅芳1,*(),程耀东3()   

  1. 1.中国科学院计算机网络信息中心,北京100190
    2.中国科学院大学,北京 100049
    3.中国科学院高能物理研究所,北京100049
  • 收稿日期:2020-04-01 出版日期:2020-08-20 发布日期:2020-09-10
  • 通讯作者: 覃毅芳
  • 作者简介:周旭,中国科学院计算机网络信息中心,博士,研究员,先进网络技术与应用发展部主任。发表SCI/EI收录论文60多篇。主要研究方向为未来网络架构、5G、边缘计算等。
    本文主要承担工作为融合边缘计算的新型科研云服务架构的整体设计。
    Zhou Xu is the research fellow in Computer Network Information Center, Chinese Academy of Sciences and the Director of Advanced Network & Technology Development. He received his Ph.D. degree from the University of Electronic Science and Technology of China in 2005. His research interests include future network architecture, 5G and edge computing. He has published more than 60 papers included in SCI/EI.
    In this paper he is mainly responsible for the overall architecture design of novel edge computing-integration cloud service.
    E-mail: zhouxu@cnic.cn|王浩宇,中国科学院计算机网络信息中心硕士研究生,主要研究方向为边缘计算和端到端传输优化。
    本文主要承担研究背景及文献调研、需求分析。
    Wang Haoyu is a master student of Computer Network Information Center, Chinese Academy of Sciences. His research interests include edge computing and end-to-end transmission optimization.
    In this paper he is mainly responsible for literature research and platform overview.
    E-mail: wanghaoyu@cnic.cn|覃毅芳,中国科学院计算机网络信息中心,博士,高级工程师,先进网络技术与应用发展部网络体系结构与系统实验室副主任,主要研究方向为网络传输优化技术、边缘计算技术等。发表SCI/EI收录论文20多篇。
    本文主要承担典型应用场景与服务能力描述。
    Qin Yifang is a senior engineer at the Department of Advanced Network Technology and Application at Computer Network Information Center, Chinese Academy of Sciences. He received his Ph.D. degree in Institute of Acoustics, Chinese Academy of Sciences in 2011. His research interests include transmission optimization mechanism, edge computing and other related technologies. And he has published over 20 papers included in SCI/EI.
    In this paper he is mainly responsible for the description of typical application scenarios and service capabilities.
    E-mail: qinyifang@cnic.cn|程耀东,中国科学院高能物理研究所,博士,研究员,计算中心副主任。主要研究方向是海量存储、云计算与大数据等。
    本文主要承担工作为高能物理数据湖技术。
    Cheng Yaodong is the research fellow in computing center, Institute of High Energy Physics, Chinese Academy of Sciences. He received his Ph.D. degree from the University of Chinese Academy of Sciences in 2006. His research interests include massive data storage, cloud computing and big data.
    In this paper, he is mainly responsible for the technical design of data lake for high energy physics.
    E-mail: chyd@ihep.ac.cn
  • 基金资助:
    国家科技重大专项“新一代宽带无线移动通信网”项目(2018ZX03001021-003);北京市科技计划“新一代信息通信技术培育”项目(Z191100007519007)

A Novel Scientific Cloud Service Architecture IntegratingEdge Computing

Zhou Xu1(),Wang Haoyu1,2(),Qin Yifang1,*(),Cheng Yaodong3()   

  1. 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
  • Received:2020-04-01 Online:2020-08-20 Published:2020-09-10
  • Contact: Qin Yifang

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摘要：

【目的】现有的云服务计算模型无法满足数据驱动型科研范式的发展。如何设计并实现符合数据密集型科学计算处理的架构是当前研究的一个热点方向。【文献范围】文章重点分析了数据驱动的科研范式的发展趋势,给网络与计算带来的挑战,以及科学计算场景下对边缘计算的具体需求,同时给出国内外对于边缘计算的研究进展。【方法】在此基础上,本文给出一种融合边缘计算的新型科研云服务架构,阐述该架构的基本功能,并给出相关典型应用场景与服务能力。【结果】该架构能够满足科学计算在数据传输优化、虚拟组网、5G融合接入、边云协同算力网络和边缘云科研应用服务等多场景需求。【结论】基于计算存储网络融合路线,整合边缘计算、5G网络、人工智能、网络虚拟化等技术,将能够形成异构融合、云边协同的新型云服务网络架构。

关键词: 边缘计算, 边云协同, 科研云服务, 传输优化, 融合组网

Abstract:

[Objective] The existing cloud computing service model cannot satisfy the development of the data-driven scientific research paradigm. Thus, how to design and implement a new architecture for data-intensive scientific computing is becoming a hot topic. [Scope of the literature] In this paper, the development trend of data-driven scientific research paradigm, the challenges it brought to networking and computing and the requirements for edge computing in scientific computing scenarios are summarized and analyzed in detail. At the same time, the research progress of edge computing in China and abroad is given. [Methods] Based on the analysis, this paper presents a novel cloud service architecture integrating edge computing for scientific research and depicts the basic functions as well as its typical application scenarios and service capabilities. [Results] This architecture can satisfy the requirements of scientific computing in multiple scenarios, such as data transmission optimization, virtual networking, 5G fusion access, edge-cloud collaborative computing power network, and edge cloud services for scientific research applications. [Conclusions] Based on the computing storage network route fusion, a new cloud service network architecture with heterogeneous network fusion and edge cloud collaboration can be achieved by technology integrations of edge computing, 5G network, artificial intelligence as well as network virtualization.

Key words: edge computing, edge-cloud collaboration, scientific cloud service, transmission optimization, integration networking