Interdependency-Aware Resource Allocation for High Availability of 5G-enabled Critical Infrastructures Services
Résumé
The introduction of the fifth generation of mobile technologies (5G) in critical infrastructures (CIs) operations will allow the delivery of more sophisticated critical services. Smart grids, intelligent transportation systems (ITS), and industrial internet of things (IIOT) are examples of 5G-enabled critical infrastructures which are highly dependent on the information and communication technology (ICT) infrastructure. In this work, we propose a collaborative framework that enables critical infrastructures operators (CIOs) to effectively share their data center (DC) infrastructure to achieve cross-domain resilience. Critical services hosted in a DC subject to a disruptive event, for example, a maintenance operation, are migrated to a close DC operated by another CI operator. By doing so, we guarantee high service availability and mitigate failure propagation if the hosting DC is dependent on the services impacted by the DC maintenance. Moreover, DC sharing will help CIs operators to optimize their CapEx by avoiding the installation of new edge DCs.We formulate a mixed integer non-linear program (MINLP) to model the migration process. Also, an epidemic model is formulated to capture failure propagation, based on which, an interdependency-aware overbooking strategy is designed to increase resource usage and decrease request blocking rate. The model will be tested on real network topologies under different settings.