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Mobile streaming for QoS approach in media cloud

机译:媒体云QoS方法的移动流

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In Multimedia network applications, adaptive mobile streaming empowers cloud-based real time transcoding. The researchers in media cloud propose a well-organized technique to split the video content into different frames. The technique is to carry out disseminated encoding to resolve the multimedia data conversion problem. Also, it introduces an energetic outgoing and an extrapolative bandwidth for dynamic mobile environments. The bandwidth losses and more power consumption in the workstation is due to disproportionate packet diffusion in the traditional network whereas in the stable streaming service cloud network, it can be reduced. Quality of Service (QoS) technique ensures multimedia transmission information appropriate for workstation surroundings via an energetic mobile streaming services such as transmission frequency, according to the traditional network surroundings and also an energetic transmission transcending is to avoid the abuse of information measures and workstation power. Finally, this study proposes a model to validate the proposed technique feasibility. The proposed technique is an economical self-adaptive transmission streaming services for varied information measure environments.
机译:在多媒体网络应用中,自适应移动流媒体授权基于云的实时转码。媒体云的研究人员提出了一种良好组织的技术,将视频内容分成不同的帧。该技术是执行传播编码以解决多媒体数据转换问题。此外,它引入了一种充满活力的外向和用于动态移动环境的外推带宽。工作站中的带宽损失和更多功耗是由于传统网络中的数据包扩散不成比例,而在稳定的流媒体服务云网络中,可以减少。服务质量(QoS)技术确保了通过诸如传输频率的能量移动流服务,根据传统的网络环境和能量传输超越的能量移动流服务,确保了适用于工作站周围的多媒体传输信息是避免滥用信息测量和工作站功率。最后,本研究提出了一种验证所提出的技术可行性的模型。所提出的技术是用于各种信息测量环境的经济自适应传输流服务。

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