Research of Multi-Objective Optimization Based Algorithm for Docker-Microservices Placement
Abstract: Docker is an open-source cloud computing application container engine, because it can make a large number of applications run on the existing server, thus attracting a wide range of attention. Com-bining Docker technology with micro services can significantly improve performance, but it also brings about the problem of how to effectively deploy. In this paper, an algorithm called MOMDA-ABC is proposed based on distributed estimation algorithm and artificial bee colony algo-rithm. The algorithm can optimize the communication distance and host number between Docker containers that deploy micro services, which can improve the performance of cloud computing platform effectively. The experimental results also prove the effectiveness of the method.
文章引用: 夏天宇 , 徐姜琴 , 江敏 (2017) 基于多目标优化的Docker-微服务部署研究。 人工智能与机器人研究， 6， 41-55. doi: 10.12677/AIRR.2017.62006
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