Transient computing has become popular in public cloud environments for running delay-insensitive batch and data processing applications at low cost. Since transient cloud servers can be revoked at any time by the cloud provider, they are considered unsuitable for running interactive application such as web services. In this paper, we present VM deflation as an alternative mechanism to server preemption for reclaiming resources from transient cloud servers under resource pressure. Using real traces from top-tier cloud providers, we show the feasibility of using VM deflation as a resource reclamation mechanism for interactive applications in public clouds. We show how current hypervisor mechanisms can be used to implement VM deflation and present cluster deflation policies for resource management of transient and on-demand cloud VMs. Experimental evaluation of our deflation system on a Linux cluster shows that microservice-based applications can be deflated by up to 50\% with negligible performance overhead. Our cluster-level deflation policies allow overcommitment levels as high as 50\%, with less than a 1\% decrease in application throughput, and can enable cloud platforms to increase revenue by 30\%.

中文翻译：

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用于在瞬态服务器上运行交互式应用程序的云规模 VM 缩减

瞬态计算在公共云环境中变得流行，用于以低成本运行延迟不敏感的批处理和数据处理应用程序。由于临时云服务器可以由云提供商随时撤销，因此它们被认为不适合运行交互式应用程序，例如 Web 服务。在本文中，我们将 VM 压缩作为服务器抢占的替代机制，以在资源压力下从瞬态云服务器中回收资源。使用来自顶级云提供商的真实跟踪，我们展示了使用 VM 压缩作为公共云中交互式应用程序的资源回收机制的可行性。我们展示了如何使用当前的虚拟机管理程序机制来实现 VM 压缩，并提出用于瞬态和按需云虚拟机资源管理的集群压缩策略。我们在 Linux 集群上对我们的压缩系统进行的实验评估表明，基于微服务的应用程序可以压缩高达 50%，而性能开销可以忽略不计。我们的集群级紧缩策略允许超额使用率高达 50\%，应用吞吐量下降不到 1\%，并且可以使云平台增加 30\% 的收入。