数据与计算发展前沿 ›› 2020, Vol. 2 ›› Issue (6): 51-61.

doi: 10.11871/jfdc.issn.2096-742X.2020.06.006

• 专题:现代服务业关键技术与应用 • 上一篇    下一篇

面向业务科技云的分布式科技资源服务关键问题研究与模型构建

高瑜蔚1,2,3,胡良霖1,2,*(),朱艳华1,2,陈昕1,2   

  1. 1. 中国科学院计算机网络信息中心,北京 100190
    2. 国家基础学科公共科学数据中心, 北京 100190
    3.首都师范大学,北京 100048
  • 收稿日期:2020-10-24 出版日期:2020-12-20 发布日期:2020-12-29
  • 通讯作者: 胡良霖
  • 作者简介:高瑜蔚,中国科学院计算机网络信息中心,国家基础学科公共科学数据中心,工程师。目前主要从事科学大数据管理与共享、标准政策和知识图谱的研究工作。在本文中承担总体统稿、核心章节撰写。
    GAO Yuwei is an engineer of Computer Network Information Center of CAS and National Basic Science Data Center. Her recent research interests are as follow: scientific big data management and sharing, standard formulation and knowledge mapping.In this paper, she is responsible for requirement analysis and proposes suggestions for revision.E-mail: gaoyuwei@cnic.cn|胡良霖,中国科学院计算机网络信息中心,研究员,国家基础学科公共科学数据中心主任。目前主要从事科学大数据管理、开放共享、应用服务等方面研究工作。本文中负责确定文章总体思路,提出修改意见。
    HU Lianglin is a professor of Computer Network Information Center of CAS and the director of National Basic Science Data Center. His recent research interests include: scientific big data management, open sharing and application services.In this paper, he is responsible for determining the general idea of the article and proposing suggestions for revision.E-mail: hull@cnic.cn|朱艳华,中国科学院计算机网络信息中心,国家基础学科公共科学数据中心,高级工程师。目前主要从事科学大数据管理与共享、标准制订和数据应用服务研究工作。本文中负责素材分析、提出修改意见。
    ZHU Yanhua is a senior engineer of Computer Network Information Center of CAS and National Basic Science Data Center. Her recent research interest areas follow: scientific big data management and sharing, standard formulation and data application service.In this paper, she is responsible for the final compilation and writing the core chapters. E-mail: zhyh@cnic.cn|陈昕,中国科学院计算机网络信息中心,国家基础学科公共科学数据中心,高级工程师。目前主要从事科学大数据管理与服务、数据可视分析等研究工作。本文中主要负责技术调研和分析。
    CHEN Xin is a senior engineer of Computer Network Information Center of CAS and National Basic Science Data Center. Her recent research interest areas follow: scientific big data management and services, data visualization analysis and other research work.In this paper, she is responsible for the technical research and analysis.E-mail: chx@cnic.cn
  • 基金资助:
    国家重点研发计划“面向业务科技云的分布式协同机制及模式研究”(2017YEB1400203)

Research on Key Issues and Model Construction of Distributed Technology Resource Services for Business Technology Cloud

GAO Yuwei1,2,3,HU Lianglin1,2,*(),ZHU Yanhua1,2,CHEN Xin1,2   

  1. 1. Computer Network Information Center of CAS, Beijing 100190, China
    2. National Basic Public Science Data Center, Beijing 100190, China
    3. Capital Normal University, Beijing 100048, China
  • Received:2020-10-24 Online:2020-12-20 Published:2020-12-29
  • Contact: HU Lianglin

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摘要：

【目的】本文针对我国科技资源创新支撑不足、服务实体经济能力薄弱等突出问题,分析面向业务科技云的科技资源服务关键问题并给出建议。【方法】本文提出建立面向业务科技云的科技资源智慧协同服务模型构想,以期实现异种异质异构科技资源动态集成和跨平台分布式科技资源协同智慧服务。【局限】模型相关构想需结合政策标准和技术突破进行应用落地,细节研究有待于进一步开展。【结论】面向业务科技云的科技资源智慧协同服务模型通过对科技资源信息的封装和统一调度服务,拆除服务价值链之间的业务协作壁垒,促进我国产业与科研机构、高校之间业务合作和科技资源共享,创新资源业务协同运作机制和服务模式,为打破产业发展路径依赖瓶颈、增强产业和区域自主创新能力提出一种有效且可行的技术解决方案。

关键词: 创新, 业务科技云, 分布式科技资源, 协同服务

Abstract:

[Objective] Aiming at key issues such as insufficient support of technological resources for innovation and weak ability to serve the real economy, this article analyzes the key issues of technological resource services for business technology clouds and gives suggestions. [Methods] This paper proposes the idea of building a model to construct distributed technology resource services for business technology cloud, which is designed to realize the dynamic integration and distribution of heterogeneous science and technology resources across different platforms. [Limitations] Relevant ideas need to be applied in conjunction with policy standards and technological breakthroughs, and detailed research needs to be further carried out. [Conclusions] By the unified encapsulation and scheduling of science and technology resources, the proposed model removes the business cooperation barriers between service value chains, promotes business cooperation and resource sharing between industries, scientific research institutions and universities. It innovates the operation mechanism and service mode of resource business collaboration, which provides a feasible solution for breaking the bottleneck of industrial development path dependence and enhancing the industrial and regional independent innovation capabilities in China.

Key words: innovation, business technology cloud, distributed resources, collaborative services