Evolutionary Game Analysis on Cloud Providers and Enterprises' Strategies for Migrating to Cloud-Native under Digital Transformation

被引:7
|
作者
Zhang, Rui [1 ]
Li, Yuewen [1 ]
Li, Hongyan [1 ]
Wang, Qiaosong [2 ]
机构
[1] Shanghai Univ Engn Sci, Sch Management, Shanghai 201620, Peoples R China
[2] Donghua Univ, Student Dept, Shanghai 201620, Peoples R China
关键词
cloud-native; digital transformation; evolutionary game theory; selection; knowledge spillover; empirical analysis; MICROSERVICES; STABILITY;
D O I
10.3390/electronics11101584
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud-native is an innovative technology and methodology that is necessary to realize the digital transformation of enterprises. Promoting the wide adoption of cloud-native in cloud providers and enterprises has gained popularity in recent years. According to the technological and commercial characteristics of cloud-native, this paper analyzes the game relationship between cloud providers and enterprises on the selection of cloud-native, and combines evolutionary game theory to establish a model. In addition, empirical analysis indicates the impact of parameter changes on the dynamic evolution process. The results show that (1) enterprises are more vulnerable to the impact of direct benefit to adopt cloud-native, and cloud providers are especially affected by the cost of providing cloud-native; (2) enterprises are more likely to be impacted by the invisible benefit than cloud providers, but the impact has a marginal decreasing effect; (3) the low price is one of the reasons to attract enterprises; (4) enterprises are more concerned about the potential loss caused by the supply and demand mismatch. The results of the discussion provide a reference for all stakeholders to promote the implementation of cloud-native and the digital transformation of enterprises.
引用
收藏
页数:22
相关论文
共 50 条
  • [21] Co-Transformation to Cloud-Native Applications Development Experiences and Experimental Evaluation
    Spillner, Josef
    Bogado, Yessica
    Benitez, Walter
    Lopez-Pires, Fabio
    CLOSER: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, 2018, : 596 - 607
  • [22] Adaptive Task Scheduling in Digital Twin Empowered Cloud-Native Vehicular Networks
    Tan, Xiaobin
    Wang, Mingyang
    Wang, Tao
    Zheng, Quan
    Wu, Jun
    Yang, Jian
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (06) : 8973 - 8987
  • [23] Flexible Investment Strategies for Cloud-Native Architecture of Public Health Information Systems
    Jiang, Ming
    Nakamoto, Ichiro
    Zhuang, Weiqing
    Zhang, Weiguo
    Guo, Yin
    Ma, Liting
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [24] Evolutionary Game Analysis of Providers' and Demanders' Low-Carbon Cooperation in Cloud Manufacturing Mode
    Han, Tiaojuan
    Lu, Jianfeng
    Zhang, Hao
    Gao, Wentao
    SUSTAINABILITY, 2024, 16 (06)
  • [25] DevOps 2.0: Embracing AI/ML, Cloud-Native Development, and a Culture of Continuous Transformation
    Chowdary, V. Hemanth Das
    Shanmukh, A.
    Nikhil, T. Phaneendra
    Kumar, B. Sandeep
    Khan, Feroz
    2024 4TH INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND SOCIAL NETWORKING, ICPCSN 2024, 2024, : 673 - 679
  • [26] Evolutionary Game Analysis of Servitization Transformation in Manufacturing Enterprises
    Gao, Ling
    2019 5TH INTERNATIONAL CONFERENCE ON GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS (GPMMTA 2019), 2019, 2185
  • [27] An Analysis with Evolutionary Game of the Resource Sharing in Supply Chain Under Cloud Platform
    Zeng, Ling-wu
    Hu, Yi
    Zhou, Xing-jian
    SEVENTEENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, 2018, : 71 - 78
  • [28] Entrepreneurial strategies for sustainable growth: a deep dive into cloud-native technology and its applications
    Alka, T. A.
    Sreenivasan, Aswathy
    Suresh, M.
    FUTURE BUSINESS JOURNAL, 2025, 11 (01)
  • [29] Dynamic Sizing of Cloud-Native Telco Data Centers With Digital Twin and Reinforcement Learning
    Pentelas, Angelos
    Katsiros, Dimitris
    Paranou, Dimitra
    Doukas, George
    Chondralis, Konstantinos
    Giannopoulos, Giorgos
    Angelou, Evangelos
    Papastefanatos, George
    IEEE ACCESS, 2024, 12 : 91462 - 91479
  • [30] Digital Twin-Based Cloud-Native Vehicular Networks Architecture for Intelligent Driving
    Tan, Xiaobin
    Meng, Qiushi
    Wang, Mingyang
    Zheng, Quan
    Wu, Jun
    Yang, Jian
    IEEE NETWORK, 2024, 38 (01): : 69 - 76