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Monitoring Resilience in a Rook-managed Containerized Cloud Storage System

机译:监视由Rook管理的容器化云存储系统中的弹性

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Distributed cloud storage solutions are currently gaining high momentum in industry and academia. The enterprise data volume growth and the recent tendency to move as much as possible data to the cloud is strongly stimulating the storage market growth. In this context, and as a main requirement for cloud native applications, it is of utmost importance to guarantee resilience of the deployed applications and the infrastructure. Indeed, with failures frequently occurring, a storage system should quickly recover to guarantee service availability. In this paper, we focus on containerized cloud storage, proposing a resilience monitoring solution for the recently developed Rook storage operator. While, Rook brings storage systems into a cloud-native container platform, in this paper we design an additional module to monitor and evaluate the resilience of the Rook-based system. Our proposed module is validated in a production environment, with software components generating a constant load and a controlled removal of system elements to evaluate the self-healing capability of the storage system. Failure recovery time revealed to be 41 and 142 seconds on average for a 32GB and a 215GB object storage device respectively.
机译:分布式云存储解决方案目前在工业界和学术界获得了强劲的发展势头。企业数据量的增长以及最近将更多数据迁移到云中的趋势强烈地刺激了存储市场的增长。在这种情况下,作为对云本机应用程序的主要要求,确保已部署的应用程序和基础架构的弹性至关重要。实际上,在频繁发生故障的情况下,存储系统应快速恢复以保证服务可用性。在本文中,我们专注于容器化的云存储,为最近开发的Rook存储运营商提出了弹性监控解决方案。虽然Rook将存储系统带入了云原生容器平台,但在本文中,我们设计了一个附加模块来监视和评估基于Rook的系统的弹性。我们提出的模块已在生产环境中进行了验证,其软件组件可产生恒定的负载并控制系统元素的移除,以评估存储系统的自我修复能力。对于32GB和215GB对象存储设备,故障恢复时间平均分别为41秒和142秒。

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