一种基于历史信息反馈的动态服务资源选择模型

针对真实服务网格环境中资源的不确定性，如CPU、网络的负载、安全性和动态性，提出了一种动态选择网格资源的技术——基于历史反馈的动态资源选择模型。该模型利用服务的历史执行信息自适应调整预测模型，并在考虑了网格环境中资源的实时性、安全性和不确定性的基础上，进行资源的反馈选择，最后将服务请求提交到整体性能较优的节点上。

Dynamic service resource selection model based on historical information feedback

According to the uncertainty of grid resources, such as CPU load and network load, dynamics and security of a real Service Grid environment, this paper proposed a Dynamic service Resource selection model based on Historical information Feedback (DRHF). This model automatically adjusts prediction model by using the historical information and also considers the real-time property, security and uncertainty of the resource in the Grid. And then it selects the best one as the executing node that has better performance than others to run the service.