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Adaptive Routing Algorithm for Joint Cloud Video Delivery

机译:联合云视频交付的自适应路由算法

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As the Internet keeps growing, online video has become a great part of the current Internet data traffic, which will take over 80% of Internet traffic according to Ciscos report. Also, new and more heavyweight applications keep developing to fulfill people's growing requirements, like 4k resolution and visual reality videos. However, one single service provider, like a Content Delivery Network (CDN), can not meet the performance requirements completely. To employ the potential of Joint Cloud, this paper designs and implements a new request routing algorithm that can make video delivery utilize multiple clouds and servers. On the premise of guaranteeing the quality of video playing, this algorithm minimizes the cost of service resources based on different infrastructures service quality, cost, and cover areas. Based on this algorithm, we implement a practical video delivery system using light-weight, flash-based terminals. And this system provides live video and video-on-demand delivery service for China Future Networks Industry Summit 2014 on June 4th. The actual user data was gathered and analyzed to verify the effectiveness of this algorithm. 90.2% of the total VOD requests were completed smoothly without pause, and the video traffic was optimized by the algorithm.
机译:随着互联网不断增长,在线视频已成为当前互联网数据流量的大部分,这将根据CISCOS报告占据互联网流量的80%以上。此外,新的和更多的重量级应用程序继续开发以满足人们的日益增长的要求,如4K分辨率和视觉现实视频。但是,一个单一服务提供商,如内容传递网络(CDN),不能完全满足性能要求。为了采用联合云的潜力,本文设计并实现了一种新的请求路由算法,可以使视频传输利用多个云和服务器。在保证视频播放质量的前提下,该算法基于不同的基础架构服务质量,成本和覆盖区域最大限度地减少服务资源成本。基于该算法,我们使用轻量级闪存的终端实现实用的视频输送系统。此系统为6月4日提供中国未来网络行业峰会的实时视频和视频点播送货服务。收集和分析实际的用户数据以验证该算法的有效性。总VOD请求的90.2%平滑地完成而不会暂停,并且通过算法优化了视频流量。

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