云数据中心SDN监控:经验与挑战

Arjun Roy, D. Bansal, David Brumley, H. Chandrappa, Parag Sharma, Rishabh Tewari, Behnaz Arzani, A. Snoeren
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引用次数: 26

摘要

云客户需要高度可靠和高性能的租用数据中心基础设施来为其用户提供高质量的服务。因此,云提供商快速检测和减轻基础设施故障至关重要。虽然对数据中心物理基础设施(即网络和服务器设备)中出现的故障的管理了解很多,但关于经常用于在多租户数据中心中提供强隔离的逻辑覆盖网络的管理,发表的文章相对较少。我们首先从一个大型云提供商的角度来观察监控这些“虚拟化”网络的细微差别。我们描述了构建基于云的故障监控系统所面临的挑战,并使用生产系统的输出说明虚拟化如何影响多租户数据中心故障管理。我们展示了虚拟化、租户软件和网络结构的较低层之间的交互既简化了故障检测和诊断工作的不同方面,又使其复杂化。
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Cloud Datacenter SDN Monitoring: Experiences and Challenges
Cloud customers require highly reliable and performant leased datacenter infrastructure to deliver quality service for their users. It is thus critical for cloud providers to quickly detect and mitigate infrastructure faults. While much is known about managing faults that arise in the datacenter physical infrastructure (i.e., network and server equipment), comparatively little has been published regarding management of the logical overlay networks frequently employed to provide strong isolation in multi-tenant datacenters. We present a first look into the nuances of monitoring these "virtualized" networks through the lens of a large cloud provider. We describe challenges to building cloud-based fault monitoring systems, and use the output of a production system to illuminate how virtualization impacts multi-tenant datacenter fault management. We show that interactions between the virtualization, tenant software, and lower layers of the network fabric both simplify and complicate different aspects of fault detection and diagnosis efforts.
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