媒体云中面向QoS的移动流

S. Sankari, K. Ashwini, P. Varalakshmi
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引用次数: 0

摘要

在多媒体网络应用中,自适应移动流支持基于云的实时转码。媒体云的研究人员提出了一种组织良好的技术,将视频内容分成不同的帧。该技术是通过分布式编码来解决多媒体数据转换问题。此外,它还引入了动态移动环境的能量输出和外推带宽。在传统网络中,工作站的带宽损失和功耗增加是由于分组扩散不成比例造成的,而在稳定的流服务云网络中,这种情况可以减少。服务质量(Quality of Service, QoS)技术根据传统的网络环境,通过具有能量的移动流服务(如传输频率)来保证多媒体信息的传输适合工作站环境,并且具有能量的传输超越是为了避免信息措施和工作站功率的滥用。最后,本研究提出一个模型来验证所提技术的可行性。该技术是一种适用于各种信息测量环境的经济的自适应传输流服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile streaming for QoS approach in media cloud
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.
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