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QoE collaborative evaluation method based on fuzzy clustering heuristic algorithm

机译:基于模糊聚类启发式算法的QoE协同评估方法

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摘要

At present, to realize or improve the quality of experience (QoE) is a major goal for network media transmission service, and QoE evaluation is the basis for adjusting the transmission control mechanism. Therefore, a kind of QoE collaborative evaluation method based on fuzzy clustering heuristic algorithm is proposed in this paper, which is concentrated on service score calculation at the server side. The server side collects network transmission quality of service (QoS) parameter, node location data, and user expectation value from client feedback information. Then it manages the historical data in database through the “big data” process mode, and predicts user score according to heuristic rules. On this basis, it completes fuzzy clustering analysis, and generates service QoE score and management message, which will be finally fed back to clients. Besides, this paper mainly discussed service evaluation generative rules, heuristic evaluation rules and fuzzy clustering analysis methods, and presents service-based QoE evaluation processes. The simulation experiments have verified the effectiveness of QoE collaborative evaluation method based on fuzzy clustering heuristic rules.
机译:当前,实现或提高体验质量(QoE)是网络媒体传输服务的主要目标,而QoE评估是调整传输控制机制的基础。因此,本文提出了一种基于模糊聚类启发式算法的QoE协同评估方法,重点是服务器端服务得分的计算。服务器端从客户端反馈信息中收集网络传输服务质量(QoS)参数,节点位置数据和用户期望值。然后通过“大数据”处理模式管理数据库中的历史数据,并根据启发式规则预测用户得分。在此基础上,完成模糊聚类分析,并生成服务QoE分数和管理消息,最终将其反馈给客户。此外,本文主要讨论了服务评估的生成规则,启发式评估规则和模糊聚类分析方法,并提出了基于服务的QoE评估过程。仿真实验验证了基于模糊聚类启发式规则的QoE协同评估方法的有效性。

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