Design of automated container layout and resource optimization algorithm based on cloud computing technology

With the rapid development and widespread application of cloud computing, container technology has become a hot topic for enterprises and research institutions in recent years. This article proposes an automated container arrangement and resource optimization algorithm design based on cloud computing technology to address these issues. This algorithm can predict and adjust resources based on real-time and historical data of applications, ensuring efficient resource utilization and good application performance. The experimental results show that our optimization algorithm has improved by about 16% compared to the optimal adaptation strategy. Due to the more precise resource allocation of the algorithm in this article, the response time of the application has not been significantly affected. In the testing of system throughput, it can be found that our algorithm has improved throughput by about 15% compared to random strategies. Finally, energy consumption was tested and the results showed that our algorithm reduced energy consumption by approximately 28% due to higher resource utilization. These results demonstrate that our algorithm outperforms existing strategies in multiple key metrics.