基于进化多目标优化的微服务组合部署与调度策略

面向微服务实例在不同资源中心的组合部署与调度问题，构建微服务组合部署与调度最优化问题模型。以资源服务中心计算及存储资源利用率、负载均衡率和微服务实际使用率等为优化目标，以服务的完备性、资源与存储资源总量和微服务序列总量为约束条件，提出基于进化多目标优化算法（NSGA-Ⅲ，MOEA/D）求解方法，寻求微服务序列在不同资源中心的实例组合部署与调度策略。通过真实数据集实验对比，在全部满足用户服务请求的约束下，该策略比传统微服务组合调度策略的计算、存储资源平均空闲率和微服务实际空闲率要分别低13.21%、5.2%和16.67%。

Micro-service composition deployment and scheduling strategy based on evolutionary multi-objective optimization

For the combined deployment and scheduling of micro-service instances in different resource centers, the micro-service combination deployment and scheduling optimization problem model is built, and the resource service center computing and storage resource utilization, load balancing rate and service actual usage rate are optimized. With the completeness of service, the total amount of resources and storage resources and the total number of micro-service sequences, the evolutionary multi-objective optimization algorithm (NSGA-Ⅲ, MOEA/D) is used to solve the example combination deployment and scheduling strategy of micro-service sequences in different resource centers. Compared with the traditional data set in the some condition, the proposed strategy calculates the storage resources, the computing usage rate, and the actual service usage are reduced by 13.21%, 5.2% and 16.67%.