Delay and reliability-constrained VNF placement on mobile and volatile 5G infrastructure

e-Archivo Repository

Show simple item record

dc.contributor.author Németh, Balázs
dc.contributor.author Molner, Nuria
dc.contributor.author Martín Pérez, Jorge
dc.contributor.author Bernardos Cano, Carlos Jesús
dc.contributor.author Oliva Delgado, Antonio de la
dc.contributor.author Sonkoly, Balázs
dc.date.accessioned 2021-05-18T11:07:12Z
dc.date.available 2020-11-30T13:12:35Z
dc.date.issued 2021-01-28
dc.identifier.bibliographicCitation IEEE Transactions on Mobile Computing (Early access), 28 January 2021
dc.identifier.issn 1536-1233
dc.identifier.uri http://hdl.handle.net/10016/31504
dc.description.abstract Ongoing research and industrial exploitation of SDN and NFV technologies promise higher flexibility on network automation and infrastructure optimization. Choosing the location of Virtual Network Functions is a central problem in the automation and optimization of the software-defined, virtualization-based next generation of networks such as 5G and beyond. Network services provided for autonomous vehicles, factory automation, e-health and cloud robotics often require strict delay bounds and reliability constraints influenced by the location of its composing Virtual Network Functions. Robots, vehicles and other end-devices provide significant capabilities such as actuators, sensors and local computation which are essential for some services. Moreover, these devices are continuously on the move and might lose network connection or run out of battery, which further challenge service delivery in this dynamic environment. This work tackles the mobility, and battery restrictions; as well as the temporal aspects and conflicting traits of reliable, low latency service deployment over a volatile network, where mobile compute nodes act as an extension of the cloud and edge computing infrastructure. The problem is formulated as a cost-minimizing Virtual Network Function placement optimization and an efficient heuristic is proposed. The algorithms are extensively evaluated from various aspects by simulation on detailed real-world scenarios.
dc.description.sponsorship This work has been partially funded by the EC H2020 5G-DIVE Project (grant no.: 859881) and EC H2020 5G-GROWTH Project (grant no.: 856709).
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2021 IEEE
dc.title Delay and reliability-constrained VNF placement on mobile and volatile 5G infrastructure
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/TMC.2021.3055426
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/856709/5G-DIVE
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/859881/5G-GROWTH
dc.type.version acceptedVersion
dc.identifier.publicationtitle IEEE Transactions on Mobile Computing
dc.identifier.uxxi AR/0000027073
dc.contributor.funder European Commission
 Find Full text

Files in this item

*Click on file's image for preview. (Embargoed files's preview is not supported)


This item appears in the following Collection(s)

Show simple item record