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On Disaster-Resilient Hybrid Service Function Chains

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Bibliographic Details
Title: On Disaster-Resilient Hybrid Service Function Chains
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), Avignon Université (AU), CERI/LIA - University of Avignon, 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 International Conference on Computer Communications (INFOCOM) - Intelligent Cloud Computing and Networking (ICCN) Workshop ; https://hal.univ-lille.fr/hal-04985877 ; IEEE International Conference on Computer Communications (INFOCOM) - Intelligent Cloud Computing and Networking (ICCN) Workshop, May 2025, London, United Kingdom ; https://infocom2025.ieee-infocom.org/seventh-international-workshop-intelligent-cloud-computing-and-networking-iccn-call-papers
Publisher Information: CCSD
Publication Year: 2025
Collection: LillOA (HAL Lille Open Archive, Université de Lille)
Subject Terms: Network Function Virtualization (NFV), Hybrid Service Function Chain (HSFC), Disaster Resiliency, Heuristic, [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: London, United Kingdom
Description: International audience ; Network Function Virtualization (NFV), offers a flexible solution through the orchestration of Virtual Network Functions (VNFs) into a Service Function Chain (SFC), facilitating the seamless transfer of user data between customers and edge servers/clouds. The distinct requirements of forward and backward traffic necessitate a Hybrid SFC (HSFC) approach. However, the resilience of these NFV and SFC deployments against disasters, whether natural or due to hardware malfunctions, presents a significant challenge, often resulting in service disruptions or degraded performance within disaster zones (DZ). To address these challenges, we propose the Resilient Hybrid Service Function Chain Resource Optimization (R-HSFC-RO) strategy, aimed at minimizing network resource consumption while ensuring service resilience. This strategy accounts for bandwidth allocation, computing resource requirements for executing VNFs, installation costs, and latency considerations. We propose a novel heuristic approach for a scalable solution, leveraging the constrained shortest path algorithm in a multi-partite graph framework. Simulation results affirm the R-HSFC-RO strategy's effectiveness in enhancing resource and cost efficiency, yielding gains of up to 30% in overall cost and up to 50% in CPU and VNF costs, thereby improving the resilience and operational efficiency of HSFC deployments against potential disruptions.
Document Type: conference object
Language: English
Availability: https://hal.univ-lille.fr/hal-04985877
https://hal.univ-lille.fr/hal-04985877v1/document
https://hal.univ-lille.fr/hal-04985877v1/file/1571103968%20final%20%282%29.pdf
Rights: http://hal.archives-ouvertes.fr/licences/copyright/ ; info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.F65713B6
Database: BASE
Description
Abstract:International audience ; Network Function Virtualization (NFV), offers a flexible solution through the orchestration of Virtual Network Functions (VNFs) into a Service Function Chain (SFC), facilitating the seamless transfer of user data between customers and edge servers/clouds. The distinct requirements of forward and backward traffic necessitate a Hybrid SFC (HSFC) approach. However, the resilience of these NFV and SFC deployments against disasters, whether natural or due to hardware malfunctions, presents a significant challenge, often resulting in service disruptions or degraded performance within disaster zones (DZ). To address these challenges, we propose the Resilient Hybrid Service Function Chain Resource Optimization (R-HSFC-RO) strategy, aimed at minimizing network resource consumption while ensuring service resilience. This strategy accounts for bandwidth allocation, computing resource requirements for executing VNFs, installation costs, and latency considerations. We propose a novel heuristic approach for a scalable solution, leveraging the constrained shortest path algorithm in a multi-partite graph framework. Simulation results affirm the R-HSFC-RO strategy's effectiveness in enhancing resource and cost efficiency, yielding gains of up to 30% in overall cost and up to 50% in CPU and VNF costs, thereby improving the resilience and operational efficiency of HSFC deployments against potential disruptions.