After a massive scale failure, the assessment of damages to communication networks requires local interventions and remote monitoring. While previous works on network recovery require complete knowledge of damage extent, we address the problem of damage assessment and critical service restoration in a joint manner. We propose a polynomial algorithm called Centrality based Damage Assessment and Recovery (CeDAR) which performs a joint activity of failure monitoring and restoration of network components. CeDAR works under limited availability of recovery resources and optimizes service recovery over time. We modified two existing approaches to the problem of network recovery to make them also able to exploit incremental knowledge of the failure extent. Through simulations we show that CeDAR outperforms the previous approaches in terms of recovery resource utilization and accumulative flow over time of the critical services

Progressive damage assessment and network recovery after massive failures / Ciavarella, Stefano; Bartolini, Novella; Khamfroush, Hana; La Porta, Tom. - STAMPA. - (2017). (Intervento presentato al convegno IEEE INFOCOM 2017 - IEEE Conference on Computer Communications tenutosi a Atlanta) [10.1109/INFOCOM.2017.8057042].

Progressive damage assessment and network recovery after massive failures

CIAVARELLA, STEFANO
Primo
;
BARTOLINI, NOVELLA
Secondo
;
2017

Abstract

After a massive scale failure, the assessment of damages to communication networks requires local interventions and remote monitoring. While previous works on network recovery require complete knowledge of damage extent, we address the problem of damage assessment and critical service restoration in a joint manner. We propose a polynomial algorithm called Centrality based Damage Assessment and Recovery (CeDAR) which performs a joint activity of failure monitoring and restoration of network components. CeDAR works under limited availability of recovery resources and optimizes service recovery over time. We modified two existing approaches to the problem of network recovery to make them also able to exploit incremental knowledge of the failure extent. Through simulations we show that CeDAR outperforms the previous approaches in terms of recovery resource utilization and accumulative flow over time of the critical services
2017
IEEE INFOCOM 2017 - IEEE Conference on Computer Communications
Disasters; Failure (mechanical); network resilience
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Progressive damage assessment and network recovery after massive failures / Ciavarella, Stefano; Bartolini, Novella; Khamfroush, Hana; La Porta, Tom. - STAMPA. - (2017). (Intervento presentato al convegno IEEE INFOCOM 2017 - IEEE Conference on Computer Communications tenutosi a Atlanta) [10.1109/INFOCOM.2017.8057042].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/961953
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