Optimization model for Cross-Domain Network Slices in 5G Networks

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Optimization model for Cross-Domain Network Slices in 5G Networks. / Addad, Rami; Bagaa, Miloud; Taleb, Tarik; Cadette Dutra, Diego Leonel; Flinck, Hannu.

julkaisussa: IEEE Transactions on Mobile Computing, 2019.

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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Bibtex - Lataa

@article{7e5ba81a8e884a26bc3c346ca1d9f70e,
title = "Optimization model for Cross-Domain Network Slices in 5G Networks",
abstract = "Network Slicing (NS) is a key enabler of the upcoming 5G and beyond system, leveraging on both Network Function Virtualization (NFV) and Software Defined Networking (SDN), NS will enable a flexible deployment of Network Functions (NFs) belonging to multiple Service Function Chains (SFC) over various administrative and technological domains. Our novel architecture addresses the complexities and heterogeneities of verticals targeted by 5G systems, whereby each slice consists of a set of SFCs, and each SFC handles specific traffic within the slice. In this paper, we propose and evaluate a MILP optimization model to solve the complexities that arise from this new environment. Our proposed model enables a costoptimal deployment of network slices allowing a mobile network operator to efficiently allocate the underlying layer resources according to its users' requirements. We also design a greedybased heuristic to investigate the possible trade-offs between execution runtime and network slice deployment. For each network slice, the proposed solution guarantees the required delay and the bandwidth, while efficiently handling the use of both the VNF nodes and the physical nodes, reducing the service provider's Operating Expenditure (OPEX).",
keywords = "Network slicing, 5G mobile communication, Bandwidth, Computer architecture, Hidden Markov models, Delays, 3GPP, 5G, Next Generation system (NextGen), NFV, SDN, Service Function Chaining, Network Functions, Network Softwarization, Optimization",
author = "Rami Addad and Miloud Bagaa and Tarik Taleb and {Cadette Dutra}, {Diego Leonel} and Hannu Flinck",
note = "| openaire: EC/H2020/761898/EU//MATILDA",
year = "2019",
doi = "10.1109/TMC.2019.2905599",
language = "English",
journal = "IEEE Transactions on Mobile Computing",
issn = "1536-1233",

}

RIS - Lataa

TY - JOUR

T1 - Optimization model for Cross-Domain Network Slices in 5G Networks

AU - Addad, Rami

AU - Bagaa, Miloud

AU - Taleb, Tarik

AU - Cadette Dutra, Diego Leonel

AU - Flinck, Hannu

N1 - | openaire: EC/H2020/761898/EU//MATILDA

PY - 2019

Y1 - 2019

N2 - Network Slicing (NS) is a key enabler of the upcoming 5G and beyond system, leveraging on both Network Function Virtualization (NFV) and Software Defined Networking (SDN), NS will enable a flexible deployment of Network Functions (NFs) belonging to multiple Service Function Chains (SFC) over various administrative and technological domains. Our novel architecture addresses the complexities and heterogeneities of verticals targeted by 5G systems, whereby each slice consists of a set of SFCs, and each SFC handles specific traffic within the slice. In this paper, we propose and evaluate a MILP optimization model to solve the complexities that arise from this new environment. Our proposed model enables a costoptimal deployment of network slices allowing a mobile network operator to efficiently allocate the underlying layer resources according to its users' requirements. We also design a greedybased heuristic to investigate the possible trade-offs between execution runtime and network slice deployment. For each network slice, the proposed solution guarantees the required delay and the bandwidth, while efficiently handling the use of both the VNF nodes and the physical nodes, reducing the service provider's Operating Expenditure (OPEX).

AB - Network Slicing (NS) is a key enabler of the upcoming 5G and beyond system, leveraging on both Network Function Virtualization (NFV) and Software Defined Networking (SDN), NS will enable a flexible deployment of Network Functions (NFs) belonging to multiple Service Function Chains (SFC) over various administrative and technological domains. Our novel architecture addresses the complexities and heterogeneities of verticals targeted by 5G systems, whereby each slice consists of a set of SFCs, and each SFC handles specific traffic within the slice. In this paper, we propose and evaluate a MILP optimization model to solve the complexities that arise from this new environment. Our proposed model enables a costoptimal deployment of network slices allowing a mobile network operator to efficiently allocate the underlying layer resources according to its users' requirements. We also design a greedybased heuristic to investigate the possible trade-offs between execution runtime and network slice deployment. For each network slice, the proposed solution guarantees the required delay and the bandwidth, while efficiently handling the use of both the VNF nodes and the physical nodes, reducing the service provider's Operating Expenditure (OPEX).

KW - Network slicing

KW - 5G mobile communication

KW - Bandwidth

KW - Computer architecture

KW - Hidden Markov models

KW - Delays

KW - 3GPP

KW - 5G

KW - Next Generation system (NextGen)

KW - NFV

KW - SDN

KW - Service Function Chaining

KW - Network Functions

KW - Network Softwarization

KW - Optimization

U2 - 10.1109/TMC.2019.2905599

DO - 10.1109/TMC.2019.2905599

M3 - Article

JO - IEEE Transactions on Mobile Computing

JF - IEEE Transactions on Mobile Computing

SN - 1536-1233

ER -

ID: 32591051