Name
Abstract | ||
|---|---|---|
In 5G network slicing environments, if insufficient resources are allocated to the associated resource-intensive service slices, its quality of service (QoS) can be considerably degraded. In this paper, we propose a priority-based dynamic resource allocation scheme (PDRAS), in which a resource management agent maintains slicing information such as priorities, demand profiles, and average resource adjustment time to change allocated resources to slices. To maximize QoS of slices while maintaining the total amount of allocated resources below a certain level, a constrained Markov decision process problem is formulated and the optimal allocation policy is obtained using linear programming. Extensive evaluation results demonstrate that PDRAS with the optimal policy has better performance regarding QoS and the resource usage efficiency compared with other schemes. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s10922-022-09681-5 | Journal of Network and Systems Management |
Keywords | DocType | Volume |
Network slicing, Quality of service, Constrained Markov decision process, Resource allocation | Journal | 30 |
Issue | ISSN | Citations |
4 | 1064-7570 | 0 |
PageRank | References | Authors |
0.34 | 17 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haneul Ko | 1 | 3 | 0.73 |
| Jaewook Lee | 2 | 735 | 50.24 |
| Sangheon Pack | 3 | 913 | 117.20 |