Name
Abstract | ||
|---|---|---|
In recent years, the rapid development of the Internet of Things (IoT) has produced a large amount of data that needs to be processed in a timely manner. Traditional cloud computing systems can provide us with plentiful resources to process such data. However, the increasing requirements of IoT applications on data privacy, energy consumption savings and location-aware data processing pushes the e... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCC.2018.2889482 | IEEE Transactions on Cloud Computing |
Keywords | DocType | Volume |
Cloud computing,Task analysis,Processor scheduling,Energy consumption,Computational modeling,Scheduling,Edge computing | Journal | 9 |
Issue | ISSN | Citations |
2 | 2168-7161 | 2 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chu-ge Wu | 1 | 3 | 1.08 |
| Wei Li | 2 | 227 | 25.46 |
| Ling Wang | 3 | 2745 | 165.98 |
| albert y zomaya | 4 | 427 | 43.75 |