Latency-Sensitive Parallel Multi-Path Service Flow Routing with Segmented VNF Processing in NFV-Enabled Networks

dc.contributor.authorQu, Long
dc.contributor.authorYu, Lingjie
dc.contributor.authorYu, Peng
dc.contributor.authorKhabbaz, Maurice Jose
dc.contributor.departmentDepartment of Computer Science
dc.contributor.facultyFaculty of Arts and Sciences (FAS)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:23:05Z
dc.date.available2025-01-24T11:23:05Z
dc.date.issued2023
dc.description.abstractIn the context of Software Defined Networking (SDN) scenarios, the deployment of multi-path routing has been trending as one of the practical approaches. It serves the two-fold objective of improving the reliability of Service Function Chains (SFCs) and reducing end-to-end delays through parallel processing; this latter being this paper’s focal point given it is one of the fundamental objectives of 6G. The literature encloses numerous publications revolving around the exploitation of Virtual Network Function (VNF) duplication and optimal placement to enable parallel processing. However, very little attention has been allocated to segmented VNFs with parallel multi-path data traffic flow routing to catalyze service completion. In reality, the application of segmented task processing is now widely used in our internet life (e,g, real-time video on Youtube). In order to realize the ultra-low end-to-end delay of SFC, we introduce the segmented VNF processing window and implement VNF processing tasks in batches/windows with multi-path routing. Herein, a novel Parallel Multi-Path service flow Routing with processing Windows (PMPRW) scheme is proposed. The PMPRW is formulated as a Mixed Integer Linear Program (MILP), owing to the complexity of which, a Column-Generation (CG) based framework is developed to generate accurate sub-optimal solutions that achieve the same performance as the optimal solution. In order to accelerate the process and enhance the performance, we propose an extended Column Fixing (CF) strategy to help generate new columns in CG. Extensive simulations are conducted to gauge the merit of PMPRW and demonstrate its superiority (as opposed to single-path routing). PMPRW achieves desirable performance by concurrently reducing the overall end-to-end delay (e.g., 22% through parallel dual-path routing). IEEE
dc.identifier.doihttps://doi.org/10.1109/TNSM.2023.3328644
dc.identifier.eid2-s2.0-85181555702
dc.identifier.urihttp://hdl.handle.net/10938/25630
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE Transactions on Network and Service Management
dc.sourceScopus
dc.subjectBandwidth
dc.subjectDelays
dc.subjectMilp
dc.subjectMulti-path routing
dc.subjectNfv
dc.subjectParallel processing
dc.subjectProcessing window
dc.subjectRouting
dc.subjectServers
dc.subjectSfc scheduling
dc.subjectTask analysis
dc.subjectVirtualization
dc.subjectJob analysis
dc.subjectMultipath propagation
dc.subjectNetwork function virtualization
dc.subjectOptimal systems
dc.subjectDelay
dc.subjectMixed integer linear program
dc.subjectMixed integer-linear programmes
dc.subjectMulti-paths routing
dc.subjectProcessing windows
dc.subjectRoutings
dc.subjectService function chain scheduling
dc.subjectService functions
dc.subjectVirtualizations
dc.subjectInteger programming
dc.titleLatency-Sensitive Parallel Multi-Path Service Flow Routing with Segmented VNF Processing in NFV-Enabled Networks
dc.typeArticle

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