A Distributed Network QoE Measurement Framework for Smart Networks in Smart Cities

Jielun Zhang, Feng Ye, Y. Qian
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引用次数: 10

Abstract

Smart City requires an intelligent and efficient network to provide services with good quality-of-experience (QoE). In this paper, we propose to develop a secure and distributed network QoE measurement for smart networks in Smart Cities. Network measurement capability has been updated gradually as the network technology progresses. For example, software-defined network will enable efficient monitoring and control of the core network. However, end-to-end network QoE measurement requires distributed approaches from the user side. In our proposed measurement framework, a traffic measurement agent is deployed in the last-hop gateway. The gateway is equipped with new features, i.e., encrypted packet classifier, traffic prediction, and user quality-of-service (QoS) to QoE mappings. Since all measurement process is done at the gateway, end user devices are separated from the entire process. Thus security can be provided by the proposed measurement framework. In addition to the framework, we demonstrated a efficient learning approach to develop the traffic prediction scheme and the QoS to QoE mapping scheme. Experiments results demonstrated that the developed schemes are applicable to a distributed network QoS measurement framework for Smart City network services.
面向智慧城市智能网络的分布式网络QoE测量框架
智慧城市需要一个智能、高效的网络来提供良好的服务体验质量。在本文中,我们建议为智慧城市中的智能网络开发一种安全的分布式网络QoE测量方法。随着网络技术的进步,网络测量能力也在逐步更新。例如,软件定义网络将实现对核心网络的有效监视和控制。然而,端到端网络QoE度量需要来自用户端的分布式方法。在我们提出的度量框架中,在最后一跳网关中部署了流量度量代理。该网关配备了新的功能,即加密分组分类器、流量预测和用户服务质量(QoS)到QoE的映射。由于所有测量过程都在网关完成,因此最终用户设备与整个过程分离。因此,所建议的度量框架可以提供安全性。除了框架之外,我们还展示了一种有效的学习方法来开发流量预测方案和QoS到QoE映射方案。实验结果表明,所提出的方案适用于面向智慧城市网络业务的分布式网络QoS测量框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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