Optimal redundancy allocation for information technology disaster recovery in the network economy

Benjamin Shao

doi:10.1109/TDSC.2005.38

Optimal redundancy allocation for information technology disaster recovery in the network economy

Benjamin Shao

Accountancy, School of

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

A discrete optimization model is proposed to allocate redundancy to critical IT functions for disaster recovery planning. The objective is to maximize the overall survivability of an organization's IT functions by selecting their appropriate redundancy levels. A solution procedure based on probabilistic dynamic programming is presented along with two examples.

Original language	English (US)
Pages (from-to)	262-267
Number of pages	6
Journal	IEEE Transactions on Dependable and Secure Computing
Volume	2
Issue number	3
DOIs	https://doi.org/10.1109/TDSC.2005.38
State	Published - 2005

Keywords

Decision support
Disaster recovery planning
Discrete optimization
Probabilistic dynamic programming
Protection
Redundancy allocation
Security
Survivability

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/TDSC.2005.38

Cite this

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title = "Optimal redundancy allocation for information technology disaster recovery in the network economy",

abstract = "A discrete optimization model is proposed to allocate redundancy to critical IT functions for disaster recovery planning. The objective is to maximize the overall survivability of an organization's IT functions by selecting their appropriate redundancy levels. A solution procedure based on probabilistic dynamic programming is presented along with two examples.",

keywords = "Decision support, Disaster recovery planning, Discrete optimization, Probabilistic dynamic programming, Protection, Redundancy allocation, Security, Survivability",

author = "Benjamin Shao",

note = "Funding Information: This research is supported by the Dean{\textquoteright}s Award for Excellence Summer Program funded by the Dean{\textquoteright}s Council of 100, the Economic Club of Phoenix, and the Alumni of the W.P. Carey School of Business at Arizona State University. The author wishes to thank three reviewers, the associate editor, Raghu Santanam, Julie Smith David, Justin Dye, Bradley Owen, and Pedro Renteria for their constructive comments and valuable suggestions.",

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AB - A discrete optimization model is proposed to allocate redundancy to critical IT functions for disaster recovery planning. The objective is to maximize the overall survivability of an organization's IT functions by selecting their appropriate redundancy levels. A solution procedure based on probabilistic dynamic programming is presented along with two examples.

KW - Decision support

KW - Disaster recovery planning

KW - Discrete optimization

KW - Probabilistic dynamic programming

KW - Protection

KW - Redundancy allocation

KW - Security

KW - Survivability

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ER -

Optimal redundancy allocation for information technology disaster recovery in the network economy

Abstract

Keywords

ASJC Scopus subject areas

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