Name
Title | ||
|---|---|---|
Resource Allocation for Ultra-low Latency Virtual Network Services in Hierarchical 5G Network |
Abstract | ||
|---|---|---|
To support ultra-low latency 5G services flexibly and use limited resources in Multi-access Edge Computing (MEC) servers efficiently, the study of latency-aware optimal hierarchical resource allocation for Service Function Chains in 5G becomes essential. In this regard, we address this resource allocation problem, for the first time, by designing a Mixed Integer Linear Programming (MILP) model based on a hierarchical 5G network interconnecting multiple MEC nodes. The objective is to minimize the total latency from five sources: processing, queueing, transmission, propagation, and optical-electronic-optical conversion. Experimental results prove that ultra-low latency requirements can be guaranteed and maximum usage of MEC node resources can be obtained. Then, a data rate-based heuristic algorithm is proposed, which can get <= 1.5 approximation ratio under different workload scenarios and achieve at least 1.7 times as much service acceptance ratio as the baseline approach. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICC.2019.8761272 | IEEE International Conference on Communications |
Keywords | Field | DocType |
5G,Multi-access Edge Computing,Network Function Virtualization,Resource Allocation,Quality of Service | Virtual network,Edge computing,Computer science,Latency (engineering),Server,Computer network,Resource allocation,Queueing theory,Integer programming,Latency (engineering) | Conference |
ISSN | Citations | PageRank |
1550-3607 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Bi | 1 | 49 | 5.21 |
| Carlos Colman Meixner | 2 | 4 | 2.01 |
| Rui Wang | 3 | 1 | 2.44 |
| Fanchao Meng | 4 | 53 | 6.67 |
| Reza Nejabati | 5 | 211 | 43.72 |
| Dimitra Simeonidou | 6 | 332 | 80.03 |