Cost-efficient data backup for data center networks against ϵ-time early warning disaster

Lisheng Ma, Xiaohong Jiang, Bin Wu, Tarik Taleb, Achille Pattavina, Norio Shiratori

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

3 Citations (Scopus)

Abstract

Data backup in data center networks (DCNs) is critical to minimize the data loss under disaster. This paper considers the cost-efficient data backup for DCNs against a disaster with ϵ early warning time. Given geo-distributed DCNs and such a ϵ-time early warning disaster, we investigate the issue of how to back up the data in DCN nodes under risk to other safe DCN nodes within the ϵ early warning time constraint, which is significant because it is an emergency scheme for data protection against a predictable disaster and also help DCN operators to build a complete backup scheme, i.e., regular backup and emergency backup. Specifically, an Integer Linear Program (ILP)-based theoretical framework is proposed to identify the optimal selections of backup DCN nodes and data transmission paths, such that the overall data backup cost is minimized. Extensive numerical results are also provided to illustrate the proposed framework for DCN data backup.

Original languageEnglish
Title of host publication2016 IEEE 17th International Conference on High Performance Switching and Routing, HPSR 2016
Pages22-26
Number of pages5
Volume2016-July
ISBN (Electronic)9781479989508
DOIs
Publication statusPublished - 28 Jul 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on High Performance Switching and Routing - Yokohama, Japan
Duration: 14 Jun 201617 Jun 2016
Conference number: 17

Conference

ConferenceIEEE International Conference on High Performance Switching and Routing
Abbreviated titleHPSR
CountryJapan
CityYokohama
Period14/06/201617/06/2016

Keywords

  • cost
  • data backup
  • Data center networks
  • early warning disaster

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