# A Novel Cloud Energy Consumption Heuristic Based on a Network Slicing-Ring Fencing Ratio
## 3 Materials and Methods
### Iterative Heuristic Energy-Aware Non-Convex Equation
The inclusion of feasible and non-overlapping regions for energy consumption can be further explored by incorporating integrity and confidentiality to prevent security breaches. The work could also be extended by looking at different types of workloads to assign proportional network slices with priority queues [20]. Finally, green cloud models also benefit from \(E_{\text{total}_{2}}\) by reducing their overall carbon footprint that comes as a result of reducing power consumption. The heuristic shown here could also be extended to include offloading strategies that minimise delays and energy consumption in other domains, such as 6G, ubiquitous computing, and future networks. Investigation, V.S.I. and Y.S. ; Supervision and Methodology, Y.S. ; Writing - Review and Editing, G.E. All authors have read and agreed to the published version of the manuscript. This research received no external funding. **Data Availability Statement**: Both code and data are publicly available. The dataset is available at [[https://tinyurl.com/4](https://tinyurl.com/4) wr29k4j]([https://tinyurl.com/4](https://tinyurl.com/4) wr29k4j), and the code at [[https://tinyurl.com/yeyku8d2](https://tinyurl.com/yeyku8d2)]([https://tinyurl.com/yeyku8d2](https://tinyurl.com/yeyku8d2)). **Conflicts of Interest**: The authors declare no conflicts of interest. ## Abbreviations

The following key abbreviations are used in this manuscript: \begin{tabular}{l l} DVS & Dynamic Voltage Scaling \\ NOMA & Non-Orthogonal Multiple Access \\ AUGMENT & Aware User Grouping for NOMA and resource allocationN in edge compuTing \\ HA-NC & Heuristic AUGMENT Non-Convex [5] \\ PSO & Priority Selection Offloading [6] \\ IHEA-NC & Iterative Heuristic Energy-Aware Non-Convex \\ \end{tabular} 

## References

* (1) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Trends in Data Centre Energy Consumption under the European Code of Conduct for Data Centre Energy Efficiency. _Energies_**2017**, _10_, 1470. [CrossRef]
* (2) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] A Comprehensive Overview of Network Slicing for Improving the Energy Efficiency of Fifth-Generation Networks. _Sensors_**2024**, _24_, 3242. [CrossRef] [PubMed]
* (3) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Empowering disaster response: Advanced Network Slicing solutions for reliable Wi-Fi and 5G communications. _Comput. Commun._**2025**, _240_, 108198. [CrossRef]
* (4) [PERSON]; [PERSON]; [PERSON]; [PERSON] Dimensioning network slices for power minimization under reliability constraints. _Future Gener. Comput. Syst._**2025**, _170_, 107824. [CrossRef]
* (5) [PERSON]; [PERSON] Energy Aware Latency Minimization for Network Slicing Enabled Edge Computing. _IEEE Trans. Green Commun. Netw._**2021**, \(5\), 2150-2159. [CrossRef]
* (6) [PERSON]; [PERSON]; [PERSON]; [PERSON] Optimal Cooperative Offloading Scheme for Energy Efficient Multi-Access Edge Computation. _IEEE Access_**2020**, \(8\), 53931-53941. [CrossRef]
* (7) [PERSON]; [PERSON]; [PERSON]; [PERSON] Network Slicing in Fog Radio Access Networks: Issues and Challenges. _IEEE Commun. Mag._**2017**, _55_, 110-116. [CrossRef]
* (8) [PERSON]; [PERSON] [PERSON] Applications of Virtual Machine Using Multi-Objective Optimization Scheduling Algorithm for Improving CPU Utilization and Energy Efficiency in Cloud Computing. _Energies_**2022**, _15_, 9164. [CrossRef]
* (9) [PERSON]; [PERSON]; [PERSON]; [PERSON] Network Slicing in 5G: Survey and Challenges. _IEEE Commun. Mag._**2017**, _55_, 94-100. [CrossRef]* _[PERSON] et al. (2020)_ _[PERSON]; [PERSON]; [PERSON]; [PERSON] End-to-End Slicing With Optimized Communication and Computing Resource Allocation in Multi-Tenant 5G Systems._ IEEE Trans. Veh. Technol. Veh. Technol._**2020**, _69_, 2079-2091. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON] Dynamic network slicing and resource allocation for heterogeneous wireless services.