Volume 12 - Issue 1
GreenSlice: An Energy-Efficient Secure Network Slicing Framework
- Ozan Akin
Middle East Technical University, Ankara, Turkey
ozan.akin@metu.edu.tr
- Umut Can Gulmez
Middle East Technical University, Ankara, Turkey
umut.gulmez@metu.edu.tr
- Ozan Sazak
Middle East Technical University, Ankara, Turkey
ozan.sazak@metu.edu.tr
- Osman Ufuk Yagmur
Middle East Technical University, Ankara, Turkey
ufuk.yagmur@metu.edu.tr
- Pelin Angin
Middle East Technical University, Ankara, Turkey
pangin@ceng.metu.edu.tr
Keywords: Network Slice, ILP, Slice Embedding, Security, 5G
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.