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Dynamic CPU Resource Allocation in Containerized Cloud Environments

机译:容器化云环境中的动态CPU资源分配

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In recent years, lighter-weight virtualization solutions have begun to emerge as an alternative to virtual machines. Because these solutions are still in their infancy, however, several research questions remain open in terms of how to effectively manage computing resources. One important problem is the management of resources in the event of overutilization. For some applications, overutilization can severely affect performance. We provide a solution to this problem by extending the concept of timeslicing to the level of virtualization container. Through this approach we can control and mitigate some of the more detrimental performance effects oversubscription. Our results show significant improvement over standard scheduling with Docker.
机译:近年来,轻量级虚拟化解决方案已开始出现,可以替代虚拟机。但是,由于这些解决方案仍处于起步阶段,因此在如何有效管理计算资源方面仍存在一些研究问题。一个重要的问题是在过度利用情况下的资源管理。对于某些应用程序,过度使用会严重影响性能。通过将时间片的概念扩展到虚拟化容器的级别,我们提供了一个解决方案。通过这种方法,我们可以控制和减轻一些过度订购对性能造成的不利影响。我们的结果表明,与Docker的标准调度相比,有了显着改进。

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