In cloud datacenter network, deadline‐aware disaster evacuation transfers the endangered data out of disaster zone using limited residual network resources. Previous work has not jointly considered the selection of safe datacenter and reasonable allocation of bandwidth proportion in time‐varying postdisaster network environment. Therefore, they cannot make full use of network transmission capability. Based on our earlier work, we propose a new time‐varying disaster evacuation strategy with flexible traffic scheduling. We aim to maximize disaster evacuation capability in the disaster spread scenario. We construct a new disaster‐aware time‐expanded network model to divide time slots according to progressive disaster spread, and optimize the utilization of evacuation capability in the current disaster stage. In each time slot, we carry out two‐step optimization including safe datacenter selection and proportional bandwidth allocation. Especially, we select store‐and‐forward node to ensure the safety of evacuated data in the next time slot, and use marked evacuation routing search based on transmission requirement to improve the utilization of evacuation capability. Through extensive simulations we demonstrate that our strategy achieves better performance with higher evacuation transmission efficiency in the disaster spread scenario.

中文翻译：

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云数据中心网络中的渐进式灾难疏散

在云数据中心网络中，具有限期意识的灾难疏散使用有限的剩余网络资源将濒临灭绝的数据转移到灾区之外。先前的工作没有共同考虑在时变的灾后网络环境中选择安全的数据中心和合理分配带宽比例。因此，它们不能充分利用网络传输能力。在早期工作的基础上，我们提出了一种具有灵活交通调度的随时间变化的新疏散策略。我们的目标是在灾难蔓延的情况下最大限度地提高避难能力。我们构建了一个新的灾难感知时间扩展网络模型，以便根据渐进式灾难传播来划分时隙，并在当前灾难阶段优化疏散能力的利用。在每个时隙中 我们执行两步优化，包括安全的数据中心选择和比例带宽分配。特别是，我们选择存储转发节点以确保下一个时隙中疏散数据的安全性，并根据传输需求使用标记的疏散路由搜索来提高疏散能力的利用率。通过广泛的仿真，我们证明了我们的策略在灾难蔓延的情况下以更高的疏散传输效率实现了更好的性能。