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Modeling data backups as a batch-service queue with vacations and exhaustive policy

机译:使用休假和详尽策略将数据备份建模为批处理服务队列

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摘要

For data backup processes to cloud infrastructure, there is a clean trade off between backing up frequently (improving data safety) and reducing resource usage (power consumption and communication cost). With rapid growth of data storage requirements in recent years, we need to find the right balance between both objectives. To explicitly address this trade off, we model a wide set of exhaustive data backup processes as a general batch service queueing model with multiple vacations and probabilistic restarts.
机译:对于将数据备份到云基础架构的过程,需要在频繁备份(提高数据安全性)和减少资源使用(功耗和通信成本)之间进行权衡取舍。近年来,随着数据存储需求的快速增长,我们需要在两个目标之间找到适当的平衡。为了明确解决此问题,我们将大量详尽的数据备份过程建模为具有多个休假和概率重启的常规批处理服务排队模型。

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