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A Fresh Look at the Reliability of Long-term Digital Storage

机译:重新看待长期数字存储的可靠性

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Emerging Web services, such as email, photo sharing, and web site archives, must preserve large volumes of quickly accessible data indefinitely into the future. The costs of doing so often determine whether the service is economically viable. We make the case that these applications' demands on large scale storage systems over long time horizons require us to reevaluate traditional system designs. We examine threats to long-lived data from an end-to-end perspective, taking into account not just hardware and software faults but also faults due to humans and organizations. We present a simple model of long-term storage failures that helps us reason about various strategies for addressing some of these threats. Using this model we show that the most important strategies for increasing the reliability of long-term storage are detecting latent faults quickly, automating fault repair to make it cheaper and faster, and increasing the independence of data replicas.
机译:诸如电子邮件,照片共享和网站档案之类的新兴Web服务必须无限期地保存大量可快速访问的数据,直至未来。这样做的成本通常决定了该服务是否在经济上可行。我们认为,这些应用程序在很长一段时间内对大型存储系统的需求都需要我们重新评估传统的系统设计。我们从端到端的角度检查了对长期数据的威胁,不仅考虑了硬件和软件故障,还考虑了由于人员和组织造成的故障。我们提供了一个长期存储故障的简单模型,可帮助我们针对解决某些威胁的各种策略进行推理。使用此模型,我们显示出提高长期存储可靠性的最重要策略是快速检测潜在故障,自动进行故障修复以使其更便宜和更快,并提高数据副本的独立性。

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