TY - GEN
T1 - The Offline Virtual Network Function Packing Problem
AU - Carlinet, Yannick
AU - Gourdin, Eric
AU - Perrot, Nancy
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3/1
Y1 - 2021/3/1
N2 - This paper presents the offline Virtual Network Function Packing (VNF-P) problem, a new challenging optimization problem that telecom operators face when designing the cloud infrastructure to host virtual network functions, especially in the context of 5G networks deployment. The VNF-P problem is a generalization of the classical Bin Packing Problem, where VNFs are packed onto physical servers, while taking into account capacity constraints, variable bin size and cost, conflicts between items and between items and bins, some unsplittable items, and two-compartment bins. Our contributions to this problem include a formal definition of the VNF-P problem, exact procedures and heuristic algorithms to solve it. An efficient algorithm, providing a good quality lower bound by solving a relaxation of the problem, is also provided. Numerical experiments on realistic instances were conducted in order to compare the different approaches. They show that the classical results of the literature cannot be extended naturally to this variant. The proposed algorithms have been validated on real use-case studies at Orange, and have been embedded in an operational tool to design the future cloud infrastructure.
AB - This paper presents the offline Virtual Network Function Packing (VNF-P) problem, a new challenging optimization problem that telecom operators face when designing the cloud infrastructure to host virtual network functions, especially in the context of 5G networks deployment. The VNF-P problem is a generalization of the classical Bin Packing Problem, where VNFs are packed onto physical servers, while taking into account capacity constraints, variable bin size and cost, conflicts between items and between items and bins, some unsplittable items, and two-compartment bins. Our contributions to this problem include a formal definition of the VNF-P problem, exact procedures and heuristic algorithms to solve it. An efficient algorithm, providing a good quality lower bound by solving a relaxation of the problem, is also provided. Numerical experiments on realistic instances were conducted in order to compare the different approaches. They show that the classical results of the literature cannot be extended naturally to this variant. The proposed algorithms have been validated on real use-case studies at Orange, and have been embedded in an operational tool to design the future cloud infrastructure.
U2 - 10.1109/ICIN51074.2021.9385554
DO - 10.1109/ICIN51074.2021.9385554
M3 - Conference contribution
AN - SCOPUS:85104189898
T3 - 2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2021
SP - 151
EP - 158
BT - 2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2021
Y2 - 1 March 2021 through 4 March 2021
ER -