Geodesic
Optimized Placement of Symmetrical Service Function Chain in Network Function Virtualization
Computer Science and Information Systems, Tome 19 (2022) no. 2
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Network function virtualization (NFV) is one of the key technology enablers for actualizing 5G networks. With NFV, virtual network functions (VNFs) are linked together as a service function chain (SFC), which provides network functionality for the customer on demand. However, how to efficiently find a suitable placement for VNFs regarding the given objectives is an extremely difficult issue. The existing approaches assume that the SFC has a simple and asymmetrical pattern that is unsuitable to modeling a real system. We address this limitation by studying a VNF placement optimization problem with symmetrical SFCs that can support both symmetric and asymmetric traffic flows. This NP-hard problem is formulated as a mixed-integer linear programming (MILP) model. An iterative greedy-based heuristic is proposed to overcome the complexity of the MILP model. Extensive simulation results show that the proposed heuristic can obtain a near-optimal solution compared to MILP for a small-scale network, and at the same time, is superior to a traditional heuristic for a large-scale network.
Keywords: Network function virtualization, multi-objective, VNF placement optimization, symmetric, heuristic 
@article{CSIS_2022_19_2_a15,
     author = {Nhat-Minh Dang-Quang and Myungsik Yoo},
     title = {Optimized {Placement} of {Symmetrical} {Service} {Function} {Chain} in {Network} {Function} {Virtualization}},
     journal = {Computer Science and Information Systems},
     year = {2022},
     volume = {19},
     number = {2},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2022_19_2_a15/}
}
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%U http://geodesic.mathdoc.fr/item/CSIS_2022_19_2_a15/
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Nhat-Minh Dang-Quang; Myungsik Yoo. Optimized Placement of Symmetrical Service Function Chain in Network Function Virtualization. Computer Science and Information Systems, Tome 19 (2022) no. 2. http://geodesic.mathdoc.fr/item/CSIS_2022_19_2_a15/