Result: Optimal redundancy allocation for disaster recovery planning in the network economy

Title:
Optimal redundancy allocation for disaster recovery planning in the network economy
Authors:
SHAO, Benjamin B. M
Source:
ISI 2004 : intelligence and security informatics (Tucson AZ, 10-11 June 2004)Lecture notes in computer science. :484-491
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 14 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Généralités, General, Allocation optimale, Optimal allocation, Asignación óptima, Discontinuité, Discontinuity, Discontinuidad, Echange information, Information exchange, Intercambio información, Economie, Economy, Economía, Planification, Planning, Planificación, Programmation discrète, Discrete programming, Programación discreta, Programmation dynamique, Dynamic programming, Programación dinámica, Programmation stochastique, Stochastic programming, Programación estocástica, Redondance, Redundancy, Redundancia, Sinistre, Disaster, Siniestro, Système tolérant les pannes, Fault tolerant system, Sistema tolerando faltas, Technologie information, Information technology, Tecnología información, Terrorisme, Terrorism, Terrorismo
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
W. P. Carey School of Business, Arizona State University, Tempe, AZ 85287, United States
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=15851835
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.15851835
Database:
PASCAL Archive

Further Information

In the present network economy, businesses are becoming increasingly reliant on information technology (IT) to perform their operations and exchange information with business partners. This heavy dependence on IT, however, poses a potential threat for an organization. When disasters strike and cause malfunction to its computing and communicating systems, it would be vulnerable to business discontinuity. As a result, the issue of how to strengthen IT capabilities so that a company can prevent or quickly recover from disasters becomes a serious concern. In this paper, a discrete optimization model is proposed to allocate redundancy to IT assets for disaster recovery planning. The objective is to maximize the overall survivability of an organization's critical IT functions by selecting their appropriate redundancy levels while still satisfying a budgetary resource constraint. A solution procedure based on probabilistic dynamic programming is proposed to solve the problem, and an example is used to illustrate its usage and effectiveness.