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GreenSlice: An Energy-Efficient Secure Network Slicing
Framework Ozan
Akin, Umut Can Gulmez+, Ozan Sazak, Osman Ufuk Yagmur, and Pelin Angin Middle East Technical University, Ankara, Turkey {ozan.akin, umut.gulmez, ozan.sazak,
ufuk.yagmur}@metu.edu.tr, pangin@ceng.metu.edu.tr Abstract The fifth generation of
telecommunication networks comes with various use cases such as Enhanced
Mobile Broadband, Ultra-Reliable and Low Latency Communications and Massive
Machine Type Communications. These different types of communications have
diverse requirements that need to be satisfied while they utilize the same
physical infrastructure. By leveraging Software Defined Network (SDN) and
Virtual Network Function (VNF) technologies, the 5G network slicing concept
can provide end-to-end logical networks on the same physical infrastructure
that satisfy the required Quality of Service (QoS)
constraints for these communication types. Optimal placement of VNFs on these
network slices is still an open problem. Although state-of-the-art research
covers the resource allocation of these VNFs, they do not consider optimizing
energy consumption under strict security requirements while embedding them
into the network. In this paper, we propose a VNF placement strategy using an
integer linear programming (ILP) model for 5G network slicing under strict
security requirements, which optimizes energy consumption by the core network
nodes. Simulation results demonstrate that the proposed model achieves
significant power savings over a greedy approach performing VNF placement
under the same QoS and security constraints. Keywords: Network Slice, ILP, Slice Embedding,
Security, 5G +: Corresponding authors: Umut Can Gulmez
Journal of Internet Services and
Information Security (JISIS), 12(1): 57-71, February 2022 |