大规模估计数据丢失

W. Zhang, Ilya Reznik
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引用次数: 0

摘要

对于为企业客户提供服务的公司来说,客户服务中断(CSO)是一种可能导致客户数据丢失的灾难性事件。在每次CSO之后,重要的是要对丢失的数据量进行及时和定量的测量。然而,由于数据量巨大,人类很难做到这一点。在本文中,我们提出了一个鲁棒的解决方案,可以在数小时内返回数字损失报告。它处理与数据相关的各种挑战。因此,管理团队可以在每次事件发生后立即评估数据丢失的严重程度,并做出相应的响应。
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Estimating Data Loss At Scale
For companies that serve corporate customers, Customer Service Outage (CSO) is a catastrophic event that may lead to some loss of their customer data. After each CSO, it is important to have a timely and quantitative measurement of how much data was lost. However, it is impractical for human to do so due to the enormous amount of data. In this paper, we present a robust solution that can return numerical loss report within hours. It handles a variety of challenges that are associated with the data. Consequently, management team can gauge the severity of data loss right after each event and respond accordingly.
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