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

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.

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Publication Details

Journal
Discover Artificial Intelligence
Published
2026-01-15
DOI
https://doi.org/10.1007/s44163-025-00791-y
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Ting Pang, Sha Lv
Discover Artificial Intelligence
Blockchain Technology Applications and Security
article

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

Ting Pang, Sha Lv
article en

Abstract

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.

Discover Artificial IntelligenceVol. 6(1)
Henan Medical University (CN)
Decent work and economic growth
Openalex Percentile: Top 92%
Blockchain Technology Applications and Security
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