Physics – Data Analysis – Statistics and Probability
Scientific paper
2010-06-26
Matisziw, T.C. and A.T. Murray. 2009. Modeling s-t Path Availability to Support Disaster Vulnerability Assessment of Network
Physics
Data Analysis, Statistics and Probability
Scientific paper
The maintenance of system flow is critical for effective network operation. Any type of disruption to network facilities (arcs/nodes) potentially risks loss of service, leaving users without access to important resources. It is therefore an important goal of planners to assess infrastructures for vulnerabilities, identifying those vital nodes/arcs whose debilitation would compromise the most source-sink (s-t) interaction or system flow. Due to the budgetary limitations of disaster management agencies, protection/fortification and planning for the recovery of these vital infrastructure facilities is a logical and efficient proactive approach to reducing worst-case risk of service disruption. Given damage to a network, evaluating the potential for flow between s-t pairs requires assessing the availability of an operational s-t path. Recent models proposed for identifying infrastructure vital to system flow have relied on enumeration of all s-t paths to support this task. This paper proposes an alternative model constraint structure that does not require complete enumeration of s-t paths, providing computational benefits over existing models. To illustrate the model, an application to a practical infrastructure planning problem is presented.
Matisziw Timothy C.
Murray Alan T.
No associations
LandOfFree
Modeling s-t Path Availability to Support Disaster Vulnerability Assessment of Network Infrastructure does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Modeling s-t Path Availability to Support Disaster Vulnerability Assessment of Network Infrastructure, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Modeling s-t Path Availability to Support Disaster Vulnerability Assessment of Network Infrastructure will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-525615