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Minimizing Last-Minute Inter-Datacenter Backup with Risk-Awareness

机译:以风险意识最大限度地减少最后一分钟的数据中心备份

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Network failure caused by disasters results in communication disruption and huge data loss in backbone Datacenter (DC) networks. To minimize such losses, in this paper, we consider an early- warning triggered risk-aware mutual backup model, which significantly reduces the last-minute backup duration. We specifically consider the joint optimization of probabilistic backup path and site selection and the amount of data to be backed up. We propose a mixed integer linear program (ILP) for backup time minimization using dual DCs at backup sites. Further, we perform extensive numerical simulations to show that, in case of disasters, dual DC backup with Risk-aware probabilistic path selection gives significantly shorter backup windows as compared to existing algorithms.
机译:受灾害引起的网络故障导致骨干数据中心(DC)网络中的通信中断和巨大的数据丢失。为了最大限度地减少这种损失,在本文中,我们考虑了一个早期警告触发的风险感知相互备份模型,这显着降低了最后一分钟的备份持续时间。我们特别考虑概率备份路径和站点选择的联合优化以及要备份的数据量。我们提出了一种混合整数线性程序(ILP),用于使用备份站点的双DCS备份时间最小化。此外,我们执行广泛的数值模拟,以表明,在灾难的情况下,与现有算法相比,具有风险感知概率路径选择的双直流备份可提供更短的备份窗口。

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