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Data backup in data center networks (DCNs) is critical to minimize the dataloss under disaster. This paper considers the cost-efficient data backup forDCNs against a disaster with $\varepsilon$ early warning time. Givengeo-distributed DCNs and such a $\varepsilon$-time early warning disaster, weinvestigate the issue of how to back up the data in DCN nodes under risk toother safe DCN nodes within the $\varepsilon$ early warning time constraint,which is significant because it is an emergency data protection scheme againsta predictable disaster and also help DCN operators to build a complete backupscheme, i.e., regular backup and emergency backup. Specifically, an IntegerLinear Program (ILP)-based theoretical framework is proposed to identify theoptimal selections of backup DCN nodes and data transmission paths, such thatthe overall data backup cost is minimized. Extensive numerical results are alsoprovided to illustrate the proposed framework for DCN data backup.

Cost-Efficient Data Backup for Data Center Networks against {\epsilon}-Time Early Warning Disaster