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Video Optimization for Testing Load Balancing of Application Delivery Controller

机译:视频优化,用于测试应用程序交付控制器的负载平衡

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ADC is an application delivery controller that flexibly delivers services for traditional, containerized and micro-service applications from a data center or any cloud. It delivers unmatched security, superior L4-7 load balancing and increased uptime. It is also beneficial in scaling capacity as and when needed which can also be shared across instances on premises and in the cloud. The testing for superior load balancing capability of ADC can be done through applications built on Android and iOS platform using YouTube Player APIs. This paper discusses the testing of load balancing through sequential playback of selected videos based on an individually preset profile for each video. The outcome of the proposed system was reflected on the new build of the ADC and was found to be effective in detecting PD videos over HTTP, Adaptive Bit Rate videos over HTTP/S and optimizing YouTube ABR videos over QUIC.
机译:ADC是一个应用程序交付控制器,可以从数据中心或任何云灵活地为传统,容器化和微服务应用程序交付服务。它提供了无与伦比的安全性,出色的L4-7负载平衡和更长的正常运行时间。在按需扩展容量时,这也是有益的,还可以在本地实例和云中的各个实例之间共享容量。 ADC的出色负载平衡功能的测试可以通过使用YouTube Player API在Android和iOS平台上构建的应用程序来完成。本文讨论了基于每个视频的单独预设配置文件,通过顺序播放选定视频来进行负载平衡测试。拟议系统的结果反映在ADC的新版本上,并被发现可有效检测HTTP上的PD视频,HTTP / S上的自适应比特率视频以及QUIC上的YouTube ABR视频。

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