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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.
Index Terms- Security, protection, disaster recovery planning, redundancy allocation, survivability, discrete optimization, decision support, probabilistic dynamic programming.
Benjamin B.M. Shao, "Optimal Redundancy Allocation for Information Technology Disaster Recovery in the Network Economy", IEEE Transactions on Dependable and Secure Computing, vol. 2, no. , pp. 262-267, July-September 2005, doi:10.1109/TDSC.2005.38
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