基于业务感知的认知网络QoS自适应控制技术

QoS Self-Adaptive Control in Cognitive Networks Based on Service Awareness

文章研究并提出了基于业务感知的认知网络服务质量(QoS)自适应控制架构。该架构在智能业务感知和分类模型的基础上对数据包进行分类和识别,并借鉴控制理论通过基于端路协同的认知网络业务流QoS自适应控制机制实现对网络流量的控制。在认知网络环境下,该架构可以构建QoS的自动感知、分析、关联、反馈、决策、配置和实施机制,进行资源的优化调整分配,适应网络环境的变化,优化网络端到端的性能,保证用户的服务质量。

This paper analyzes the Quality of Service（QoS） self-adaptive control architecture of cognitive networks based on intelligent service awareness.In this architecture,packets can be identified and classified using an intelligent service-aware and classification model.Drawing on Control Theory,network traffic can be controlled with a self-adaptive QoS control mechanism that has side-road collaboration.In this architecture,perception,analysis,correlation,feedback,decision making,allocation,and implementation QoS mechanisms are created automatically.These mechanisms can adjust resource allocation,adapt to a changeable network environment,optimize the performance of the end-to-end network,and ensure QoS for users.