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

Research output: Contribution to journalArticle

12 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 languageEnglish (US)
Pages (from-to)262-267
Number of pages6
JournalIEEE Transactions on Dependable and Secure Computing
Volume2
Issue number3
DOIs
StatePublished - Jan 1 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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