Dynamic Resource Allocation for Network Slicing with Multi-Tenants in 5G Two-Tier Networks
Virtualization is a core 5G network technology which helps telecom companies significantly reduce capital expenditure and operating expenses by deploying multiple services on the same hardware infrastructure. However, providing QoS-guaranteed services for multi-tenants poses a significant challenge...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/10/4698 |
| _version_ | 1797598362214596608 |
|---|---|
| author | Jia-You Lin Ping-Hung Chou Ren-Hung Hwang |
| author_facet | Jia-You Lin Ping-Hung Chou Ren-Hung Hwang |
| author_sort | Jia-You Lin |
| collection | DOAJ |
| description | Virtualization is a core 5G network technology which helps telecom companies significantly reduce capital expenditure and operating expenses by deploying multiple services on the same hardware infrastructure. However, providing QoS-guaranteed services for multi-tenants poses a significant challenge due to multi-tenant service diversity. Network slicing has been proposed as a means of addressing this problem by isolating computing and communication resources for the different tenants of different services. However, optimizing the allocation of the network and computation resources across multiple network slices is a critical but extremely difficult problem. Accordingly, this study proposes two heuristic algorithms, namely Minimum Cost Resource Allocation (MCRA) and Fast Latency Decrease Resource Allocation (FLDRA), to perform dynamic path routing and resource allocation for multi-tenant network slices in a two-tier architecture. The simulation results show that both algorithms significantly outperform the Upper-tier First with Latency-bounded Overprovisioning Prevention (UFLOP) algorithm proposed in previous work. Furthermore, the MCRA algorithm achieves a higher resource utilization than the FLDRA algorithm. |
| first_indexed | 2024-03-11T03:20:08Z |
| format | Article |
| id | doaj.art-20114c0b38624282b82db8f9d2c3d661 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T03:20:08Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-20114c0b38624282b82db8f9d2c3d6612023-11-18T03:11:14ZengMDPI AGSensors1424-82202023-05-012310469810.3390/s23104698Dynamic Resource Allocation for Network Slicing with Multi-Tenants in 5G Two-Tier NetworksJia-You Lin0Ping-Hung Chou1Ren-Hung Hwang2Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi 62102, TaiwanDepartment of Computer Science and Information Engineering, National Chung Cheng University, Chiayi 62102, TaiwanDepartment of Computer Science, College of AI, National Yang Ming Chiao Tung University, Tainan 71150, TaiwanVirtualization is a core 5G network technology which helps telecom companies significantly reduce capital expenditure and operating expenses by deploying multiple services on the same hardware infrastructure. However, providing QoS-guaranteed services for multi-tenants poses a significant challenge due to multi-tenant service diversity. Network slicing has been proposed as a means of addressing this problem by isolating computing and communication resources for the different tenants of different services. However, optimizing the allocation of the network and computation resources across multiple network slices is a critical but extremely difficult problem. Accordingly, this study proposes two heuristic algorithms, namely Minimum Cost Resource Allocation (MCRA) and Fast Latency Decrease Resource Allocation (FLDRA), to perform dynamic path routing and resource allocation for multi-tenant network slices in a two-tier architecture. The simulation results show that both algorithms significantly outperform the Upper-tier First with Latency-bounded Overprovisioning Prevention (UFLOP) algorithm proposed in previous work. Furthermore, the MCRA algorithm achieves a higher resource utilization than the FLDRA algorithm.https://www.mdpi.com/1424-8220/23/10/4698network function virtualizationnetwork slicingmulti-access edge computingoptimal resource allocationdynamic offloading |
| spellingShingle | Jia-You Lin Ping-Hung Chou Ren-Hung Hwang Dynamic Resource Allocation for Network Slicing with Multi-Tenants in 5G Two-Tier Networks Sensors network function virtualization network slicing multi-access edge computing optimal resource allocation dynamic offloading |
| title | Dynamic Resource Allocation for Network Slicing with Multi-Tenants in 5G Two-Tier Networks |
| title_full | Dynamic Resource Allocation for Network Slicing with Multi-Tenants in 5G Two-Tier Networks |
| title_fullStr | Dynamic Resource Allocation for Network Slicing with Multi-Tenants in 5G Two-Tier Networks |
| title_full_unstemmed | Dynamic Resource Allocation for Network Slicing with Multi-Tenants in 5G Two-Tier Networks |
| title_short | Dynamic Resource Allocation for Network Slicing with Multi-Tenants in 5G Two-Tier Networks |
| title_sort | dynamic resource allocation for network slicing with multi tenants in 5g two tier networks |
| topic | network function virtualization network slicing multi-access edge computing optimal resource allocation dynamic offloading |
| url | https://www.mdpi.com/1424-8220/23/10/4698 |
| work_keys_str_mv | AT jiayoulin dynamicresourceallocationfornetworkslicingwithmultitenantsin5gtwotiernetworks AT pinghungchou dynamicresourceallocationfornetworkslicingwithmultitenantsin5gtwotiernetworks AT renhunghwang dynamicresourceallocationfornetworkslicingwithmultitenantsin5gtwotiernetworks |