“东数西算”工程建设的现状、问题与对策

doi:10.11959/j.issn.2096-0271.2023055

Abstract

Abstract:

The ＆quot;Channel Computing Resources from the East to the West＆quot; project is a major strategic project to build a balance of computing resources and on-demand scheduling in China's territorial space.Since the full launch of the Chinese＆quot;Channel Computing Resources from the East to the West＆quot; project construction, a series of problems have been exposed on many different fields, such as the supply side, demand side, energy side, technology side, and mechanism side.It is urgent to re-analyze and define the internal logic of the ＆quot;Channel Computing Resources from the East to the West＆quot;project from a theoretical level.The internal logic of ＆quot;Channel Computing Resources from the East to the West＆quot;, that is, the infrastructure of Chinese computing, was analyzed from different perspectives such as economic form, technological trend, technological competition, and cost-benefit.It also proposed to build a new type of infrastructure for the Chinese national computing network, called computing NET, and build a national computing NET construction path from the aspects of policy layout, network direct connection, technical support, and mechanism innovation.

Key words: Channel Computing Resources from the East to the West, pivot, infrastructure, Chinese national computing NET

CLC Number:

Nannan TONG, Dong CHEN, Huiying LI, Honglin ZHU. Research on the internal logic and solution of the “Channel Computing Resources from the East to the West” project[J]. Big Data Research, 2023, 9(5): 9-19.

Figures/Tables 1

References ［24］

［1］	5G与高质量发展联合课题组. 迈向万物智联新世界——5G时代·大数据·智能化［M］．北京: 社会科学文献出版社, 2019．
	Joint Research Group on 5G and High Quality Development. Marching towards a fully connected intelligent world-5G big data AI［M］． Beijing: Social Sciences Academic Press(China), 2019．
［2］	STOICA I , SHENKER S ． From cloud computing to sky computing［C］// Proceedings of the Workshop on Hot Topics in Operating Systems． New York:ACM Press, 2021: 26-32．
［3］	CHASINS S , CHEUNG A , CROOKS N ,et al． The sky above the clouds[EB]. arXiv preprint,arXiv:2205．07147, 2022．
［4］	DAGEVILLE B , CRUANES T , ZUKOWSKI M ,et al． The snowflake elastic data warehouse［C］// Proceedings of the 2016 International Conference on Management of Data． New York:ACM Press, 2016: 215-226．
［5］	于施洋, 郭明军, 郭巧敏 ,等．数字城市“新市政”:城市算力网的总体架构及实施路径研究［J］．电子政务, 2022(12): 2-12．
	YU S Y , GUO M J , GUO Q M ,et al． Digital city “new municipal infrastructure”:research on the overall architecture and implementation path of city computing power network［J］． E-Government, 2022(12): 2-12．
［6］	李少鹤, 李泰新, 周旭．算力网络:以网络为中心的融合资源供给［J］．中兴通讯技术, 2021,27(3): 29-34．
	LI S H , LI T X , ZHOU X ． Computing power network:a network-centric supply paradigm for integrated resources［J］． ZTE Technology Journal, 2021,27(3): 29-34．
［7］	崔占伟．算力网络调度的集中式方案研究与实践［J］．广东通信技术, 2022,42(12): 44-49．
	CUI Z W ． Research and practice on centralized scheme of computing network scheduling［J］． Guangdong Communication Technology, 2022,42(12): 44-49．
［8］	贾庆民, 郭凯, 周晓茂 ,等．新型算力网络架构设计与探讨［J］．信息通信技术与政策, 2022,48(11): 18-23．
	JIA Q M , GUO K , ZHOU X M ,et al． Design and discussion for new computing power network architecture［J］． Information and Communications Technology and Policy, 2022,48(11): 18-23．
［9］	高文．中国算力网的机遇与挑战［J］．中国计算机学会通讯, 2023(1): 31-36．
	GAO W ． Opportunities and challenges of China’s computing power network［J］． Communications of CCF, 2023(1): 31-36．
［10］	贾庆民, 丁瑞, 刘辉 ,等．算力网络研究进展综述［J］．网络与信息安全学报, 2021,7(5): 1-12．
	JIA Q M , DING R , LIU H ,et al． Survey on research progress for compute first networking［J］． Chinese Journal of Network and Information Security, 2021,7(5): 1-12．
［11］	中国联通．算力网络架构与技术体系白皮［R］． 2022．
	China Unicom． Computing power network architecture and technical system white paper［R］． 2022．
［12］	梁芳, 佟恬, 马贺荣 ,等．东数西算下算力网络发展分析［J］．信息通信技术与政策, 2022,48(11): 79-83．
	LIANG F , TONG T , MA H R ,et al． Analysis of the development of the computing power network under east-datawest-computing project［J］． Information and Communications Technology and Policy, 2022,48(11): 79-83．
［13］	中国移动．算力网络白皮书［R］． 2022．
	China Mobile． Computing force network whitepaper［R］． 2022．
［14］	刘景磊, 陈燕军, 牛洁 ,等．中国移动算力网络开源工作实践［J］．通信世界, 2022(23): 30-32．
	LIU J L , CHEN Y J , NIU J ,et al． China Mobile’s open source work practice of computing force network［J］． Communications World, 2022(23): 30-32．
［15］	王晓虹, 王卅, 唐宏伟 ,等．构建“新基建”国家战略的技术底座――“信息高铁”综合试验场建设的实践与思考［J］．中国科学院院刊, 2021,36(9): 1066-1073．
	WANG X H , WANG S , TANG H W ,et al． Building substrate for national strategy of new infrastructure construction—practice and thought of information superbahn testbed［J］． Bulletin of the Chinese Academy of Sciences, 2021,36(9): 1066-1073．
［16］	徐志伟, 李国杰, 孙凝晖．一种新型信息基础设施:高通量低熵算力网(信息高铁)［J］．中国科学院院刊, 2022,37(1): 46-52．
	XU Z W , LI G J , SUN N H ． Information superbahn:towards new type of cyberinfrastructure［J］． Bulletin of Chinese Academy of Sciences, 2022,37(1): 46-52．
［17］	胡媛．亚信科技首席技术官、高级副总裁欧阳晔:向算力内生网络演进［N］．通信产业报, 2023-01-02(15)．
	HU Y ． Ouyang Ye,CTO and SVP of AsiaInfo:evolving to a network with endogenous computing power［N］． Communications Weekly, 2023-01-02(15)．
［18］	2022中国算力大会．中国综合算力指数（2022年）［R］． 2022．
	2022 China Computing Power Conference. China composite computing power index (2022)［R］． 2022．
［19］	2022中国算力大会．中国算力白皮书（2022年）［R］． 2022．
	2022 China Computing Power Conference． China computing power white paper (2022)［R］． 2022．
［20］	2022中国算力大会．中国存力白皮书（2022年）［R］． 2022．
	2022 China Computing Power Conference． China data storage capabilities white paper (2022)［R］． 2022．
［21］	国家信息中心, 庆阳市人民政府, 燧原科技,等. 东数西算战略下绿色智算中心产业发展研究报告［R］． 2022．
	State Information Center, Qingyang Municipal People’s Government, Enflame,等. Research reporton the development of green intelligent computing center industry under the strateqy of “Eastern Pata and Western Computing”［R］． 2022．
［22］	李洁, 王月．算力基础设施的现状、趋势和对策建议［J］．信息通信技术与政策, 2022(3): 2-6．
	LI J , WANG Y ． The status,trends and suggestions of computing infrastructure［J］． Information and Communications Technology and Policy, 2022(3): 2-6．
［23］	韩淑君, 穆琙博, 柴瑶琳 ,等．算网基础设施发展现状及建议［J］．信息通信技术与政策, 2022,48(11): 24-29．
	HAN S J , MU Y B , CHAI Y L ,et al． Analysis on the development trend of convergence of computing and network infrastructure［J］． Information and Communications Technology and Policy, 2022,48(11): 24-29．
［24］	石勇, 寇纲, 李彪． “东数西算”战略与问题的分析研究［J］．大数据, 2023,9(5): 3-8．
	SHI Y , KOU G , LI B ． Analysis and research on the strategy and problems of “Channel Computing Resources from the East to the West”［J］． Big Data Research, 2023,9(5): 3-8．

Metrics

Recommended 0

No Suggested Reading articles found!

[1]	Biao LI, Shaokun LI, Gang KOU, Xingtong CHEN, Xunfang ZHUO. Sichuan’s strategic positioning and strategy research under the "Channel Computing Resources from the East to the West" [J]. Big Data Research, 2023, 9(5): 20-31.
[2]	Yong SHI, Gang KOU, Biao LI. Analysis and research on the strategy and problems of “Channel Computing Resources from the East to the West” [J]. Big Data Research, 2023, 9(5): 3-8.
[3]	Qinbo BI, Zhuting PAN. Industrial analysis and thinking based on “data policies” [J]. Big Data Research, 2023, 9(5): 174-184.
[4]	Honglin ZHU, Qiang GUO, Beining SHOU. A preliminary study on the construction ideas of"Channel Computing Resources from the East to the West" national integrated collaborative data security protection system [J]. Big Data Research, 2023, 9(5): 140-149.
[5]	Kun GUO, Yuxin KANG, Xunfang ZHUO. Beijing-Tianjin-Hebei national integrated big-data center system empowers global digital economy benchmark city construction [J]. Big Data Research, 2023, 9(5): 134-139.
[6]	Huacun WANG, Boxia LIU, Yifei CHOU, Honglin ZHU. “Channel Computing Resources from the East to the West” of Qingyang cluster at Gansu hub:current status and prospects [J]. Big Data Research, 2023, 9(5): 111-133.
[7]	Wei DENG, Zhouhui DENG. Current status, challenges and strategies of the big data industry development in Guizhou Province under “Channel Computing Resources from the East to the West” [J]. Big Data Research, 2023, 9(5): 90-99.
[8]	Yezheng LIU, Lihua HUANG, Yangyong ZHU, Jianshan SUN, Jingda SONG. Mechanism and path of the national computing hub in the Yangtze River Delta enabling digital transformation of the manufacturing industry [J]. Big Data Research, 2023, 9(5): 61-77.
[9]	Zili ZHANG, Ting XIE, Wenping LI. National computing hub built in Chengdu-Chongqing economic circle boosts China’s “Channel Computing Resources from the East to the West” project [J]. Big Data Research, 2023, 9(5): 32-47.
[10]	Chaoran LUO, Yun MA, Xiang JING, Gang HUANG. Internet of data: a solution for dataspace infrastructure and its technical challenges [J]. Big Data Research, 2023, 9(2): 110-121.

Research on the internal logic and solution of the “Channel Computing Resources from the East to the West” project

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 1

References ［24］

Related Articles 10

Metrics

Recommended 0