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

doi:10.1109/HPSR.2016.7525634

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 proceeding › Conference article in proceedings › Scientific › peer-review

5 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 language	English
Title of host publication	2016 IEEE 17th International Conference on High Performance Switching and Routing, HPSR 2016
Publisher	IEEE
Pages	22-26
Number of pages	5
Volume	2016-July
ISBN (Electronic)	9781479989508
DOIs	https://doi.org/10.1109/HPSR.2016.7525634
Publication status	Published - 28 Jul 2016
MoE publication type	A4 Conference publication
Event	IEEE International Conference on High Performance Switching and Routing - Yokohama, Japan Duration: 14 Jun 2016 → 17 Jun 2016 Conference number: 17

Conference

Conference	IEEE International Conference on High Performance Switching and Routing
Abbreviated title	HPSR
Country/Territory	Japan
City	Yokohama
Period	14/06/2016 → 17/06/2016

Keywords

cost
data backup
Data center networks
early warning disaster

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10.1109/HPSR.2016.7525634

Cite this

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title = "Cost-efficient data backup for data center networks against ϵ-time early warning disaster",

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.",

keywords = "cost, data backup, Data center networks, early warning disaster",

author = "Lisheng Ma and Xiaohong Jiang and Bin Wu and Tarik Taleb and Achille Pattavina and Norio Shiratori",

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booktitle = "2016 IEEE 17th International Conference on High Performance Switching and Routing, HPSR 2016",

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note = "IEEE International Conference on High Performance Switching and Routing, HPSR ; Conference date: 14-06-2016 Through 17-06-2016",

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Ma, L, Jiang, X, Wu, B, Taleb, T, Pattavina, A & Shiratori, N 2016, Cost-efficient data backup for data center networks against ϵ-time early warning disaster. in 2016 IEEE 17th International Conference on High Performance Switching and Routing, HPSR 2016. vol. 2016-July, 7525634, IEEE, pp. 22-26, IEEE International Conference on High Performance Switching and Routing, Yokohama, Japan, 14/06/2016. https://doi.org/10.1109/HPSR.2016.7525634

Cost-efficient data backup for data center networks against ϵ-time early warning disaster. / Ma, Lisheng; Jiang, Xiaohong; Wu, Bin et al.
2016 IEEE 17th International Conference on High Performance Switching and Routing, HPSR 2016. Vol. 2016-July IEEE, 2016. p. 22-26 7525634.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Wu, Bin

AU - Taleb, Tarik

AU - Pattavina, Achille

AU - Shiratori, Norio

N1 - Conference code: 17

PY - 2016/7/28

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N2 - 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.

AB - 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.

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

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