Title :
Optimal redundancy allocation for information technology disaster recovery in the network economy
Author :
Shao, Benjamin B M
Author_Institution :
Dept. of Inf. Syst., Arizona State Univ., Tempe, AZ, USA
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 :
business continuity; dynamic programming; information technology; resource allocation; security of data; disaster recovery planning; discrete optimization model; information technology disaster recovery; network economy; optimal redundancy allocation; probabilistic dynamic programming; Computer hacking; Dynamic programming; Earthquakes; Electric breakdown; Information technology; Intelligent networks; Marketing and sales; Process planning; Protection; Redundancy; Index Terms- Security; decision support; disaster recovery planning; discrete optimization; probabilistic dynamic programming.; protection; redundancy allocation; survivability;
Journal_Title :
Dependable and Secure Computing, IEEE Transactions on
DOI :
10.1109/TDSC.2005.38
