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<p>The current innovation and entrepreneurship platforms for college students often suffer from low resource utilization efficiency and information exchange security vulnerabilities. In response to these limitations, a new platform architecture was proposed and implemented by combining Docker container technology with an improved blockchain framework. The platform adopts a three-layer design, with the first layer being the blockchain node layer, which utilizes an optimized practical Byzantine Fault Tolerant (PBFT) consensus mechanism for secure and tamper proof data storage. The second layer is the Docker cluster layer, which supports dynamic resource orchestration and lightweight microservice deployment. The third layer is the application layer used for user interaction. In order to rigorously evaluate the platform, comprehensive experiments were conducted using synthesized high concurrency workloads and a real-world dataset containing 500 anonymous student innovation and entrepreneurship projects. Performance indicators, including CPU utilization, task completion time, and model prediction accuracy, were measured together with security features such as tamper resistance and single point of failure resilience. The key results demonstrate the efficiency of the platform: the average CPU utilization on device 1 is less than 20%, and under testing conditions, the total task time is approximately 7000&#xa0;ms, validating fast response in high concurrency scenarios. In addition, the backpropagation (BP) neural network model achieved a low prediction error of 0.31, providing a quantitative basis for resource allocation optimization. The research results ultimately indicate that the collaborative integration of blockchain and Docker containerization not only improves the transparency and security of data exchange, but also greatly enhances hardware utilization through dynamic resource scheduling. This comprehensive approach provides a strong, efficient, and reliable technological foundation for supporting innovation and entrepreneurial activities among college students.</p>

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Innovation and entrepreneurship platform design based on docker container and improved blockchain technology

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月15日

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  • Sha Lv,
  • Ting Pang

摘要

The current innovation and entrepreneurship platforms for college students often suffer from low resource utilization efficiency and information exchange security vulnerabilities. In response to these limitations, a new platform architecture was proposed and implemented by combining Docker container technology with an improved blockchain framework. The platform adopts a three-layer design, with the first layer being the blockchain node layer, which utilizes an optimized practical Byzantine Fault Tolerant (PBFT) consensus mechanism for secure and tamper proof data storage. The second layer is the Docker cluster layer, which supports dynamic resource orchestration and lightweight microservice deployment. The third layer is the application layer used for user interaction. In order to rigorously evaluate the platform, comprehensive experiments were conducted using synthesized high concurrency workloads and a real-world dataset containing 500 anonymous student innovation and entrepreneurship projects. Performance indicators, including CPU utilization, task completion time, and model prediction accuracy, were measured together with security features such as tamper resistance and single point of failure resilience. The key results demonstrate the efficiency of the platform: the average CPU utilization on device 1 is less than 20%, and under testing conditions, the total task time is approximately 7000 ms, validating fast response in high concurrency scenarios. In addition, the backpropagation (BP) neural network model achieved a low prediction error of 0.31, providing a quantitative basis for resource allocation optimization. The research results ultimately indicate that the collaborative integration of blockchain and Docker containerization not only improves the transparency and security of data exchange, but also greatly enhances hardware utilization through dynamic resource scheduling. This comprehensive approach provides a strong, efficient, and reliable technological foundation for supporting innovation and entrepreneurial activities among college students.