BENCHMARK AND QUANTITATIVE ANALYSIS OF CONTAINER NETWORK PLUGINS
With the popularity of microservice architecture,Kubernetes is widely-used as the basic management tool of mainstream microservice practice.As the core communication component of Kubernetes cluster,network plugins have many optional implementations at present.How to choose the best plugin according to the user scenario is a comprehensive problem.In this paper,a quantitative evaluation method of plugins adapted to user scenarios is proposed.By analyzing the functional characteristics and measured performance data of plugins,an evaluation model was established based on multi-index comprehensive analysis strategy.The model could output quantitative scores of plugins in various user scenarios,and users could choose the best plug-ins suitable for the current scenario according to the scores.The actual test of typical scenarios shows that the evaluation model can select the best plugin in the test scenarios.