Name
Abstract | ||
|---|---|---|
Resource allocation problems often manifest as online decision-making tasks where the proper allocation strategy depends on the understanding of the allocation environment and resources workload. Most existing resource allocation methods are based on meticulously designed heuristics which ignore the patterns of incoming tasks, so the dynamics of incoming tasks cannot be properly handled. To addres... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TBDATA.2020.2988273 | IEEE Transactions on Big Data |
Keywords | DocType | Volume |
Resource management,Task analysis,Learning (artificial intelligence),Dynamic scheduling,Big Data,Decision making,Data models | Journal | 8 |
Issue | ISSN | Citations |
3 | 2332-7790 | 0 |
PageRank | References | Authors |
0.34 | 17 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia Wang | 1 | 79 | 17.75 |
| Jiannong Cao | 2 | 5226 | 425.12 |
| Senzhang Wang | 3 | 0 | 0.34 |
| Zhongyu Yao | 4 | 0 | 0.34 |
| Wengen Li | 5 | 6 | 3.87 |