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Dynamic Resource Provisioning for Video Transcoding in IaaS Cloud

机译:IAAS云视频转码的动态资源配置

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High-definition video applications are often challenging for mobile devices due to their limited processing capability and bandwidth-constrained network connection. Video transcoding has become an inevitable technology for on-demand video streaming service which needs to be done on the go in real-time for mobile devices. Since video transcoding involves extensive computation, performing transcoding using cloud resource is more cost friendly and time effective. It is challenging to use the cloud resources for video transcoding that minimises the operating cost. In this paper, we propose a dynamic resource provisioning algorithm for allocating virtual machine to scale video transcoding services on a given IaaS cloud and conducted experiments in CloudSim and compared the proposed system with conventional system. The experimental results show that the proposed system outperforms the conventional systems.
机译:由于其有限的处理能力和带宽约束网络连接,高清晰度视频应用通常对移动设备具有具有挑战性的。视频转码已成为必不可少的技术,用于按需视频流服务,需要在实时进行移动设备的实时完成。由于视频转码涉及广泛的计算,因此使用云资源执行转码更为成本友好和时间有效。使用云资源来实现最小化运营成本的视频代码转换挑战。在本文中,我们提出了一种动态资源供应算法,用于分配虚拟机,以在给定的IAAS云上缩放视频转码服务,并在CloudSim进行实验,并将所提出的系统与传统系统进行比较。实验结果表明,所提出的系统优于传统系统。

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