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QCSS: A QoE-Aware Control Plane for Adaptive Streaming Service over Mobile Edge Computing Infrastructures

机译:QCSS:用于移动边缘计算基础架构上的自适应流服务的QoE感知控制平面

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Mobile Edge Computing (MEC) is designed to extend the edge of the cloud network to decrease latency and network congestion, which would significantly improve the quality of experience (QoE) of adaptive streaming service for mobile users. This paper proposes QCSS, a QoE-aware control plane for adaptive streaming service over MEC infrastructures. QCSS aims to assure high QoE delivery of online streaming service to mobile users. The design of QCSS features: 1) a timeslot system with a look-ahead window for calculating cost of edge node switch and video quality adaption (to balance network load and reduce latency); 2) conducting service adaption via a set of cooperative action components running on client devices, edge nodes, and center nodes (to ensure a smooth viewing experience); 3) constructing a flexible QoE model and extending the scope and meaning of user-perceived experience. The effectiveness of QCSS has been validated via three real datasets. The validation results show that the proposed QCSS can improve QoE performance and network load performance for adaptive streaming service over MEC Infrastructures.
机译:移动边缘计算(MEC)旨在扩展云网络的边缘,以减少延迟和网络拥塞,这将显着提高移动用户自适应流服务的体验质量(QoE)。本文提出了QCSS,一种QoE感知的控制平面,用于MEC基础设施上的自适应流服务。 QCSS旨在确保向移动用户提供高质量的在线流媒体服务的QoE。 QCSS的设计特点:1)具有预见窗的时隙系统,用于计算边缘节点交换的成本和视频质量适应性(以平衡网络负载并减少延迟); 2)通过在客户端设备,边缘节点和中心节点上运行的一组协作动作组件进行服务调整(以确保流畅的观看体验); 3)构建灵活的QoE模型,并扩展用户感知体验的范围和含义。 QCSS的有效性已通过三个真实数据集进行了验证。验证结果表明,所提出的QCSS可以提高MEC基础设施上的自适应流服务的QoE性能和网络负载性能。

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