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Software Aging Issues in Streaming Video Player

机译：流式视频播放器中的软件老化问题

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Many researchers around the world are working hard to improve cloud-based services focusing on server-side and communication aspects. This is especially true for services which demand high processing power and storage space on their server’s infrastructure, such as live video streaming on the web and video on demand. However, issues on client-side applications are often neglected or studied to a lower extent. In this context, this paper evaluates the occurrence of software aging in a web browser plug-in for video streaming. The case study is carried out by using an automated workload that simulates the user behavior accessing videos on YouTube. Time series were used to predict the resources utilization ahead of time, enabling the prevention of performance degradation and unexpected crashes. Finally, the prediction-based strategy is compared to the time-based strategy, showing the impact of both on system’s availability.
机译：世界各地的许多研究人员都在努力改善基于云的服务，重点是服务器端和通信方面。对于要求在服务器基础结构上具有强大处理能力和存储空间的服务而言，尤其如此，例如网络上的实时视频流和视频点播。但是，客户端应用程序上的问题通常被忽略或研究得较少。在这种情况下，本文评估了用于视频流的Web浏览器插件中软件老化的情况。该案例研究是通过使用自动工作负载来进行的，该工作负载模拟了用户访问YouTube视频的行为。时间序列用于提前预测资源利用率，从而防止性能下降和意外崩溃。最后，将基于预测的策略与基于时间的策略进行了比较，显示了两者对系统可用性的影响。

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