Name
Abstract | ||
|---|---|---|
Edge network slicing has been identified as a crucial technology to provide dedicated virtual networks with a series of tailored resources (i.e., communication, computing, caching, and backhaul resource) toward differential services. A few critical challenges also arise from the network slicing, especially taking the unknown time-varying environment information and the interdependent communication, computation and caching in account. This letter proposes a novel end-to-end effective capacity (EC) for the edge network, to analyze the long-term performance of edge network slicing. Based on the EC, a resource orchestration mechanism is developed to optimally allocate these heterogeneous resources for the minimization of the network cost under the quality-of-service (QoS) guarantee. Simulation results reveal the synergy among heterogeneous resources in terms of the end-to-end capacity, and also demonstrate the effectiveness of the proposed scheme compared with other schemes. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LWC.2019.2922605 | IEEE Wireless Communications Letters |
Keywords | Field | DocType |
Task analysis,Quality of service,Network slicing,Servers,Bandwidth,Delays,Wireless communication | Wireless,Backhaul (telecommunications),Slicing,Server,Enhanced Data Rates for GSM Evolution,Computer network,Quality of service,Bandwidth (signal processing),Orchestration (computing),Mathematics | Journal |
Volume | Issue | ISSN |
8 | 5 | 2162-2337 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yue Wang | 1 | 960 | 143.63 |
| Yu Gu | 2 | 29 | 4.32 |
| Xiaofeng Tao | 3 | 1033 | 140.26 |