Name
Abstract | ||
|---|---|---|
As mobile data rapidly grows, power efficiency problem becomes an increasing concern in wireless networks. To efficiently reduce energy consumption, nowadays researchers attempt to introduce the thought of "edge cache" into Internet. However, the power efficiency problem in the existing solutions is mainly researched under the background of the access networks and lack of in-depth analysis from the perspective of the whole network. Therefore, we design a new power minimization mechanism for content distribution applications by deploying edge caches in wireless network scenarios. Then, we theoretically analyze the optimal power efficiency problem to realize efficient content distribution by simultaneously taking into account the effects of edge cache size, popularity distribution of network contents, network topology, and the number of different contents. Simulation process indicates that the designed model can significantly reduce power consumption in comparison to traditional Internet solutions without deploying edge caches at the edge of wireless networks. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/GLOBECOM38437.2019.9014087 | IEEE Global Communications Conference |
Keywords | DocType | ISSN |
Edge cache,power efficiency,content popularity,content delivery | Conference | 2334-0983 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao Fang | 1 | 96 | 15.65 |
| Xinyan Wen | 2 | 0 | 0.34 |
| Ziyi Ling | 3 | 0 | 0.34 |
| Sheng Xu | 4 | 507 | 71.47 |
| Changtong Liu | 5 | 0 | 0.34 |
| Zhuwei Wang | 6 | 49 | 12.11 |
| Enchang Sun | 7 | 21 | 8.33 |