Name
Abstract | ||
|---|---|---|
Edge data caching has attracted tremendous attention in recent years. Service providers can consider caching data on nearby locations to provide service for their app users with relatively low latency. The key to enhance the user experience is appropriately choose to cache data on the suitable edge servers to achieve the service providers' objective, e.g., minimizing data retrieval latency and min... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICWS53863.2021.00050 | 2021 IEEE International Conference on Web Services (ICWS) |
Keywords | DocType | ISBN |
QoE aware data caching,edge computing,multiple knapsack problem,budget constraint,approximate algorithm | Conference | 978-1-6654-1681-8 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ying Liu | 1 | 13 | 3.25 |
| Yuzheng Han | 2 | 1 | 0.35 |
| ao zhang | 3 | 6 | 7.89 |
| Xiaoyu Xia | 4 | 57 | 3.10 |
| Feifei Chen | 5 | 296 | 22.56 |
| Mingwei Zhang | 6 | 10 | 2.52 |
| Qiang He | 7 | 217 | 23.35 |