JOURNAL ARTICLE

Containerized Microservices Deployment Approach based on Ant Colony Optimization

Abstract

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.

Keywords:
Software deployment Microservices Computer science Ant colony optimization algorithms Operating system Cloud computing Artificial intelligence

Metrics

3
Cited By
1.32
FWCI (Field Weighted Citation Impact)
3
Refs
0.71
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Software System Performance and Reliability
Physical Sciences →  Computer Science →  Computer Networks and Communications
Software-Defined Networks and 5G
Physical Sciences →  Computer Science →  Computer Networks and Communications
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications

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