This paper addresses the problem of efficiently restoring sufficient resources in a
communications network to support the demand of mission critical services after a large …

This paper addresses the problem of efficiently restoring sufficient resources in a
communications network to support the demand of mission critical services after a large …

A major disruption may affect many network components and significantly lower the capacity
of a network measured in terms of the maximum total flow among a set of source-destination …

After a massive scale failure, the assessment of damages to communication networks
requires local interventions and remote monitoring. While previous works on network …

In a scenario of restoration from massive failures, a network is repaired through multiple
restoration stages because availability of repair resources is limited. In a practical case, a …

This paper addresses progressive network recovery under uncertain knowledge of
damages. We formulate the problem as a mixed integer linear programming (MILP), and …

Network recovery after large-scale failures has tremendous cost implications. While
numerous approaches have been proposed to restore critical services after large-scale …

A natural disaster will cause large-scale failures and damage many network components,
which in turn affect users? traffic. This paper addresses the problem of selecting a subset of …

Due to the ubiquitous nature of disruptive extreme events, functionality of the critical
infrastructure systems (CIS) is constantly at risk. In case of a disruption, in order to minimize …

This paper focuses on the planning and scheduling of restoration efforts provided by
infrastructure networks in the aftermath of disruptive events. Two mathematical formulations …