Towards Modeling Cross-Domain Network Slices for 5G

Rami Addad; Tarik Taleb; Miloud Bagaa; Diego Cadette Dutra; Hannu Flinck

doi:10.1109/GLOCOM.2018.8647504

Towards Modeling Cross-Domain Network Slices for 5G

Rami Addad, Tarik Taleb, Miloud Bagaa, Diego Cadette Dutra, Hannu Flinck

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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Abstract

Network Slicing (NS) is expected to be a key functionality of the upcoming 5G systems. Coupled with Software Defined Networking (SDN) and Network Function Virtualization (NFV), NS will enable a flexible deployment of Network Functions belonging to multiple Service Function Chains (SFC) over a shared infrastructure. To address the complexities that arise from this new environment, we formulate a MILP optimization model that enables a cost- optimal deployment of network slices, allowing a Mobile Network Operator to efficiently allocate the underlying layer resources according to the users' requirements. For each network slice, the proposed solution guarantees the required delay and the bandwidth, while efficiently handling the usage of underlying nodes, which leads to reduced cost. The obtained results show the efficiency of the proposed solution in terms of cost and execution time for small-scale networks, while it shows an interesting behavior in the optimization of the mapping of slices into underlay nodes of the large-scale topologies.

Original language	English
Title of host publication	2018 IEEE Global Communications Conference, GLOBECOM 2018
Publisher	IEEE
Number of pages	7
ISBN (Electronic)	978-1-5386-4727-1
DOIs	https://doi.org/10.1109/GLOCOM.2018.8647504
Publication status	Published - 2018
MoE publication type	A4 Article in a conference publication
Event	IEEE Global Communications Conference - UAE, Abu Dhabi, United Arab Emirates Duration: 9 Dec 2018 → 13 Dec 2018 https://globecom2018.ieee-globecom.org/

Publication series

Name	IEEE Global Communications Conferences
Publisher	IEEE
ISSN (Electronic)	2576-6813

Conference

Conference	IEEE Global Communications Conference
Abbreviated title	GLOBECOM
Country	United Arab Emirates
City	Abu Dhabi
Period	09/12/2018 → 13/12/2018
Internet address	https://globecom2018.ieee-globecom.org/

Access to Document

10.1109/GLOCOM.2018.8647504

ELEC_Addad_towards_modeling_cross-domain_IEEEGlobeComAccepted author manuscript, 4.67 MB

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Projects

1 Active

MATILDA: A Holistic, innovative framework for the design, development and orchestration of 5G-ready applications and network services over sliced programmable infrastructure

Taleb, T., Bagaa, M., Mada, B., El Marai, O., Afolabi, I., Maiouak, M., Prados-Garzon, J., Abada, A. & Boumezer, W.

01/06/2017 → 31/12/2020

Project: EU: Framework programmes funding

Cite this

Addad, R., Taleb, T., Bagaa, M., Cadette Dutra, D., & Flinck, H. (2018). Towards Modeling Cross-Domain Network Slices for 5G. In 2018 IEEE Global Communications Conference, GLOBECOM 2018 (IEEE Global Communications Conferences). IEEE. https://doi.org/10.1109/GLOCOM.2018.8647504

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AB - Network Slicing (NS) is expected to be a key functionality of the upcoming 5G systems. Coupled with Software Defined Networking (SDN) and Network Function Virtualization (NFV), NS will enable a flexible deployment of Network Functions belonging to multiple Service Function Chains (SFC) over a shared infrastructure. To address the complexities that arise from this new environment, we formulate a MILP optimization model that enables a cost- optimal deployment of network slices, allowing a Mobile Network Operator to efficiently allocate the underlying layer resources according to the users' requirements. For each network slice, the proposed solution guarantees the required delay and the bandwidth, while efficiently handling the usage of underlying nodes, which leads to reduced cost. The obtained results show the efficiency of the proposed solution in terms of cost and execution time for small-scale networks, while it shows an interesting behavior in the optimization of the mapping of slices into underlay nodes of the large-scale topologies.

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