## 5 Conclusions  
The current research developed the second version of the Preemption-based service Prioritization (PP2) scheme--an improvement of the previous PP [10]. Unlike PP, which optimizes resource utilization among slices, with each providing non-TCP streaming service (non-TCP streaming slice), PP2 realizes the same among slices, each providing either non-TCP streaming or TCP elastic service (TCP elastic slice). PP2 is based on analytically described Dynamic Resource Sharing (DRS) and Dynamic Resource Reallocation (DRR) methods--DRS ensures fair resource allocation, while DRR reduces the capacity share of the slices violating the mandatory isolation among the slices (slice violators). The main feature of PP2 is the mutual utilization of the guaranteed capacity of all slices. Given some baseline scenario, the comparison of PP2 versus the classical Resource Reservation (RR) shows (i) an increase up to 99.999% in the admission probability at the system and (ii) a constant system capacity utilization at 100%.  
As a next research topic, one can consider the application of Service Prioritization (SP) schemes and Priority Levels (PLs) on all TCP elastic slices in system capacity utilization. As another interesting subject, one can research the benefits of introducing the maximum data rate of customers with less than the overall capacity into all TCP elastic slices.  
In general, unlike the previous PP scheme, PP2 can be used at various levels in smart cities, farms, and buildings to efficiently manage or supply available water, energy, etc.  
Conceptualization, Y.A., E.M. and Y.G.; methodology, Y.A., E.M. and Y.G.; software, Y.A.; validation, Y.A.; formal analysis, Y.A.; investigation, Y.A.; resources, Y.A.; data curation, Y.A.; writing--original draft preparation, Y.A.; writing--review and editing, Y.A., E.M. and Y.G.; visualization, Y.A. and E.M.; supervision, Y.A., E.M. and Y.G.; project administration, Y.A., E.M. and Y.G.; funding acquisition, E.M. and Y.G. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the Russian Science Foundation, project no. 22-79-10053 ([[https://rscf.ru/en/project/22-79-10053/](https://rscf.ru/en/project/22-79-10053/)]([https://rscf.ru/en/project/22-79-10053/](https://rscf.ru/en/project/22-79-10053/)), accessed on 24 August 2024) (recipient [PERSON], Sections 2 and 3). This publication has been supported by the RUDN University Scientific Projects Grant System, project no. 021937-2-000 (recipient [PERSON], Sections 1 and 4).  
The generated research data are publicly available from FigShare at [[https://doi.org/10.6084/m9.figshare.c.7404859.v1](https://doi.org/10.6084/m9.figshare.c.7404859.v1)]([https://doi.org/10.6084/m9.figshare.c.7404859.v1](https://doi.org/10.6084/m9.figshare.c.7404859.v1)) (accessed on 10 October 2024).  
The authors declare no conflicts of interest.  
The following abbreviations are used in this manuscript:  
3 GPPThird Generation Partnership Project DRRDynamic Resource Reallocation DRSDynamic Resource Sharing gNBFifth Generation Base Station KPIKey Performance Indicator NSNetwork Slicing PLPriority Level PPPreemption-based service Prioritization PP2 second version of the PP QoSQuality of Service r.u.resource units RACRadio Admission Control RRResource Reservation s.u.size units SPService Prioritization t.u.time units