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SGX-Aware Container Orchestration for Heterogeneous Clusters

机译:SGX-Aware Container Orchestration for异构集群

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Containers are becoming the de facto standard to package and deploy applications and micro-services in the cloud. Several cloud providers (e.g., Amazon, Google, Microsoft) begin to offer native support on their infrastructure by integrating container orchestration tools within their cloud offering. At the same time, the security guarantees that containers offer to applications remain questionable. Customers still need to trust their cloud provider with respect to data and code integrity. The recent introduction by Intel of Software Guard Extensions (SGX) into the mass market offers an alternative to developers, who can now execute their code in a hardware-secured environment without trusting the cloud provider. This paper provides insights regarding the support of SGX inside Kubernetes, an industry-standard container orchestrator. We present our contributions across the whole stack supporting execution of SGX-enabled containers. We provide details regarding the architecture of the scheduler and its monitoring framework, the underlying operating system support and the required kernel driver extensions. We evaluate our complete implementation on a private cluster using the real-world Google Borg traces. Our experiments highlight the performance trade-offs that will be encountered when deploying SGX-enabled micro-services in the cloud.
机译:容器正在成为包装和部署云中的应用程序和微服务的事实标准。几个云提供商(例如,亚马逊,谷歌,Microsoft)首先通过集成云产品中的容器编排工具来为其基础架构提供本机支持。与此同时,安全保证容器向申请提供仍然可疑。客户仍需要相信数据和代码完整性的云提供商。最近的软件保护扩展(SGX)进入大众市场的介绍为开发人员提供了替代品,他们现在可以在硬件安全环境中执行代码而不信任云提供商。本文提供了一个关于Kubernetes内部SGX的支持,这是一个行业标准的集装箱乐队。我们在整个堆栈中介绍了支持执行SGX的容器的贡献。我们提供有关调度程序的体系结构及其监控框架的详细信息,底层操作系统支持和所需的内核驱动程序扩展。我们使用真实世界的Google Borg Trave评估我们在私人群集上的完整实现。我们的实验突出显示在云中部署SGX的微型服务时将遇到的性能权衡。

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