Cloud Computing Platform and Big Data Service for Incubator Cluster

被引:0
|
作者
Xiong, Gang [1 ,3 ]
Zhang, Chi [2 ,3 ]
Ji, Tongkai [1 ]
Guan, Banji [1 ]
Sun, Aobing [1 ]
Hu, Yuexiang [4 ]
Nyberg, Timo R. [1 ,5 ]
机构
[1] Chinese Acad Sci, Cloud Comp Ctr, Dongguan Res Inst CASIA, Dongguan, Peoples R China
[2] Beijing Univ Chem Technol, Sch Econ & Management, Beijing, Peoples R China
[3] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
[4] Hainan Zhongke Flower Ocean Cloud Commerce Techno, Joint Lab Parallel Management & Control & Busines, Haikou, Peoples R China
[5] Aalto Univ, Sch Sci, Dept Ind Engn & Management, Helsinki, Finland
关键词
business incubator cluster; open innovation; cloud computing platform; crowdsourcing; big data service;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Hundreds of incubators get birthed worldwide every day, and many new ICT technologies developed continuously, like cloud computing and big data. Therefore, it's possible and necessary to develop a cloud computing platform that gathering a variety of data and resources information needed by thousands of incubators and millions of incubated enterprises. In this paper, after comparing three different countries incubator's management procedure, we mainly talk about the way to design a cloud-based incubator platform including its architecture, main functions, and the interface. We assume that the platform can gather and share a variety of information and resource, like money, human resource, equipment, office place and so on. So the platform is beneficial for the incubated enterprises, incubators, and the government. For example, the platform can provide individual services through big data technology. The platform can analysis the situation of incubators and warn the companies in dangerous condition with the history big data. Finally, this paper describes the use case of cloud-based incubator platform for Guangdong Province.
引用
收藏
页码:60 / 65
页数:6
相关论文
共 50 条
  • [21] Advances in cloud and big data computing
    Bellatreche, Ladjel
    Leung, Carson
    Xia, Yinglong
    El Baz, Didier
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2019, 31 (02):
  • [22] Cloud Computing for Big Data Processing
    Li, Xiaofang
    Zhuang, Yanbin
    Yang, Simon X.
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2017, 23 (04): : 545 - 546
  • [23] Cloud Computing for Big Data Analysis
    Marozzo, Fabrizio
    Belcastro, Loris
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (20):
  • [24] An Integration of Big Data and Cloud Computing
    Thingom, Chintureena
    Yeon, Guydeuk
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT 2016, VOL 2, 2017, 469 : 729 - 737
  • [25] Design of Traffic Management and Service Cloud Platform Based on Big Data Technology
    Li, Yong
    Gao, Lang
    [J]. 2015 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND TECHNOLOGY (ICCST 2015), 2015, : 13 - 17
  • [26] Research on campus network cloud storage open platform based on cloud computing and big data technology
    Yao Fuguang
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (02) : 1215 - 1223
  • [27] Soft computing techniques for big data and cloud computing
    Gupta, B. B.
    Agrawal, Dharma P.
    Yamaguchi, Shingo
    Sheng, Michael
    [J]. SOFT COMPUTING, 2020, 24 (08) : 5483 - 5484
  • [28] Soft computing techniques for big data and cloud computing
    B. B. Gupta
    Dharma P. Agrawal
    Shingo Yamaguchi
    Michael Sheng
    [J]. Soft Computing, 2020, 24 : 5483 - 5484
  • [29] Design and Implementation of Facial Sketch System Based on Cloud Computing Platform and Big data
    An Yan-jun
    Hou Yue
    [J]. MATERIAL SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY II, 2014, 651-653 : 2028 - 2031
  • [30] Design of Safety Production Control System Based on Big Data Cloud Computing Platform
    Fan, Ganglong
    Li, Yongliang
    [J]. PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MECHATRONICS, COMPUTER AND EDUCATION INFORMATIONIZATION (MCEI 2016), 2016, 130 : 329 - 333