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Optimal Provisioning of Hybrid Service Function Chains with Guaranteed Disaster Resilience

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Title: Optimal Provisioning of Hybrid Service Function Chains with Guaranteed Disaster Resilience
Authors: Madani, Mohamed, Abderrahmane, Zhou, Fen, Meddahi, Ahmed
Contributors: Centre for Digital Systems (CERI SN - IMT Nord Europe), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), Institut Mines-Télécom Paris (IMT), CERI/LIA - University of Avignon, Avignon Université (AU), Institut TELECOM/TELECOM Lille1, Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), This work was carried out in the context of 5GMetaverse: a project funded by the French government as part of the plan of investment for the future, namely "France 2030”.
Source: IEEE Symposium on Computers and Communications (ISCC) ; https://hal.science/hal-05029644 ; IEEE Symposium on Computers and Communications (ISCC), Jul 2025, Bologna (ITALY), Italy
Publisher Information: CCSD
Publication Year: 2025
Collection: Université d'Avignon et des Pays de Vaucluse: HAL
Subject Terms: Network Function Virtualization (NFV), Hybrid Service Function Chain (HSFC), Disaster Resiliency, Mixed-Integer Linear Programming (MILP), Constraint Programming (CP), [INFO]Computer Science [cs], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC]
Subject Geographic: Bologna (ITALY), Italy
Description: International audience ; Network Function Virtualization (NFV) provides a flexible mechanism for deploying Virtual Network Functions (VNFs) within Service Function Chains (SFCs), thereby streamlining data transfers between end-users and edge/cloud resources. The distinct requirements for forward and backward traffic-each carrying different types of content-give rise to Hybrid SFCs (HSFCs), which must be carefully designed to address unique deployment and performance concerns. However, achieving robust disaster resilience in HSFC-based NFV environments poses significant challenges, as natural or hardwareinduced disruptions within Disaster Zones (DZs) can degrade service quality or even cause outages. This paper describes the Resilient Hybrid Service Function Chain Resource Optimization (R-HSFC-RO) approach to ensure both efficient resource utilization and sustained service delivery under disaster conditions. Our model considers bandwidth consumption, computational resource allocation for VNF execution, VNF instantiation overheads, and end-to-end latency requirements. For resolution, we propose a Mixed-Integer Linear Programming (MILP) model and Constraint Programming (CP), thereby enabling optimal solutions. Simulation results demonstrate that R-HSFC-RO reduces total costs by up to 50%, enhances disaster resilience, and maintains high operational efficiency.
Document Type: conference object
Language: English
Availability: https://hal.science/hal-05029644
https://hal.science/hal-05029644v1/document
https://hal.science/hal-05029644v1/file/IEEE_ISCC_Optimal_Provisioning_of_Hybrid_Service_Function_Chains_with_Guaranteed_Disaster_Resilience%20%2817%29.pdf
Rights: http://hal.archives-ouvertes.fr/licences/copyright/ ; info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.9B0BFCD3
Database: BASE
Description
Abstract:International audience ; Network Function Virtualization (NFV) provides a flexible mechanism for deploying Virtual Network Functions (VNFs) within Service Function Chains (SFCs), thereby streamlining data transfers between end-users and edge/cloud resources. The distinct requirements for forward and backward traffic-each carrying different types of content-give rise to Hybrid SFCs (HSFCs), which must be carefully designed to address unique deployment and performance concerns. However, achieving robust disaster resilience in HSFC-based NFV environments poses significant challenges, as natural or hardwareinduced disruptions within Disaster Zones (DZs) can degrade service quality or even cause outages. This paper describes the Resilient Hybrid Service Function Chain Resource Optimization (R-HSFC-RO) approach to ensure both efficient resource utilization and sustained service delivery under disaster conditions. Our model considers bandwidth consumption, computational resource allocation for VNF execution, VNF instantiation overheads, and end-to-end latency requirements. For resolution, we propose a Mixed-Integer Linear Programming (MILP) model and Constraint Programming (CP), thereby enabling optimal solutions. Simulation results demonstrate that R-HSFC-RO reduces total costs by up to 50%, enhances disaster resilience, and maintains high operational efficiency.