主动式微服务细粒度弹性缩放算法研究OA北大核心CSTPCD

Microservice architecture has become the basic service architecture of cloud data center.However,the existing studies on the elastic scaling scheme of microservice systems are mostly based on horizontal scaling at the service or instance level,ignoring the fine-grained vertical scaling that can make full use of single server resources,resulting in resource waste.Therefore,an active microservice fine-grained elastic scaling algorithm is designed in this paper.The algo-rithm forecasts the request arrival rate to preconfigure the system resources.Based on the predicted results,the square root staffing rule is applied to calculate the number of required resources,and then the microservice is scaled by using the fine-grained resource control feature of vertical scaling and the high availability of horizontal scaling.Finally,an instance migration algorithm based on microservice dependency is applied to further reduce the resource overhead.Experimental results show that the proposed algorithm is effective in optimizing the delay and overhead of microservice systems.