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SYSTEM AND METHOD OF USING A MACHINE LEARNING ALGORITHM TO MEET SLA REQUIREMENTS

机译:使用机器学习算法满足SLA要求的系统和方法

摘要

A method includes collecting, at a monitoring and recovery node, a virtual network function key performance index data through multiple channels from a corresponding containerized virtual network function. The method includes maintaining, at the monitoring and recovery node, state information of the corresponding containerized virtual network function and running, at the monitoring and recovery node, a machine learning algorithm that, once trained, learns and predicts whether the corresponding containerized virtual network function requires one of a scaling, a healing or a context switching to sister virtual network function to yield a determination and meet the service level agreement of a network service.
机译:一种方法包括在监视和恢复节点处通过多个通道从相应的容器化虚拟网络功能收集虚拟网络功能关键性能指标数据。该方法包括在监视和恢复节点处维护对应的容器化虚拟网络功能的状态信息,并在监视和恢复节点处运行机器学习算法,该机器学习算法一旦被训练,就学习并预测相应的容器化虚拟网络功能是否存在。需要缩放,修复或上下文切换到姊妹虚拟网络功能之一以产生确定并满足网络服务的服务级别协议。

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