基于约束的自适应QoE算法设计

Design of Adaptive QoE Algorithm Based on Constraints

针对任务请求和服务器节点之间进行数值计算存在较大的时延代价问题,构思一种以任务转发频率为约束,全面评估系统可用开销资源的客户体验(QoE)算法。算法以任务交互时延为控制目标,通过设计多个评估参数从整个系统中筛选出具有足够响应能力的节点为终端用户提请的任务计算请求提供解决方案。同时兼顾到任务请求的随机突发特征引发系统节点载荷度失衡,进而导致任务计算迟缓的问题,算法设计了可用资源集合用于动态遍历可用的响应节点。数据统计表明,QoE算法不仅具备全局优化性,也具有良好的自适应能力。

In view of the large delay cost in the numerical calculation between the task request and the server node,a customer experience(QoE)algorithm is proposed,which takes the task forwarding frequency as the constraint and comprehensively evaluates the available overhead resources of the system.The algorithm takes the task interaction delay as the control goal,and selects the nodes with enough response ability from the whole system by designing multiple evaluation parameters to provide solutions for the task computing requests requested by the end users.At the same time,taking into account the problem that the random burst characteristics of task requests lead to the imbalance of load degree of system nodes,which leads to the slow calculation of tasks,the algorithm designs a set of available resources for dynamic traversal of available response nodes.Data statistics show that QoE algorithm not only has global optimization,but also has good adaptive ability.