Containerized Microservices Deployment Approach based on Ant Colony Optimization
Wen-Tin Lee, Zhi-Yao Yang, Zhun-Wei Liu, Shin-Jie Lee · 2023
The deployment of microservices presents a challenge in striking a balance between application performance and cost, which is one of the critical considerations in microservice deployment. This study proposes a microservice deployment algorithm based on ant colony optimization. It conducts experimental cases to analyze the performance and deployment cost of applications deployed using Kubernetes deployment and the deployment solution proposed in this study. The experiments demonstrate that the deployment solution designed using the proposed algorithm achieves higher performance and lower deployment cost during the deployment phase.