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Fatman: Cost-saving and reliable archival storage based on volunteer resources

机译:Fatman:基于志愿者资源的成本节省和可靠的档案存储

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We present Fatman, an enterprise-scale archival storage based on volunteer contribution resources from underutilized web servers, usually deployed on thousands of nodes with spare storage capacity. Fatman is specifically designed for enhancing the utilization of existing storage resources and cutting down the hardware purchase cost. Two major concerned issues of the system design are maximizing the resource u-tilization of volunteer nodes without violating Service Level Objectives (SLOs) and minimizing the cost without reducing the availability of archival system. Fatman has been widely deployed on tens of thousands of server nodes across several datacenters, provided more than 100PB storage capacity and served dozens of internal mass-data applications. The system realizes an efficient storage quota consolidation by strong isolation and budget limitation, to maximally support resources contribution without any degradation on host-level SLOs. It firstly improves data reliability by applying disk failure prediction to minish failure recovery cost, named fault-aware data management, dramatically reduces the MTTR by 76.3% and decreases file crash ratio by 35% on real-life product workload.
机译:我们陈述了基于未充分利用的Web服务器的志愿者贡献资源的企业级档案存储,通常部署在数千个具有备用存储容量的节点上。 Fatman专门用于增强现有存储资源的利用率并降低硬件购买成本。系统设计的两个主要有关问题最大化志愿者节点的资源U形倾斜,而无需违反服务级别目标(SLO),并最大限度地减少成本而不会降低档案系统的可用性。 Fatman已被广泛部署在多个数据中心的数万种服务器节点上,提供超过100pb的存储容量,并提供数十个内部质量数据应用程序。该系统通过强烈的隔离和预算限制实现了高效的存储配额整合,以最大限度地支持资源贡献,而不会对主机级SLO进行任何退化。它首先通过将磁盘故障预测应用于矿物故障恢复成本来提高数据可靠性,命名故障感知数据管理,大大减少了76.3%的MTTR,并在现实生活产品工作负载时将文件崩溃比率降低了35%。

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