Name
Abstract | ||
|---|---|---|
In this paper, we introduce DLB, a Deep Learning based load Balancing mechanism, to effectively address the data skew problem. The key idea of DLB is to replace hash functions in the load balancing mechanisms with deep learning models, which are trained to be able to map different distributions of workloads and data to the servers in a uniformed manner. We implemented DLB and deployed it on a prac... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CLOUD53861.2021.00083 | 2021 IEEE 14th International Conference on Cloud Computing (CLOUD) |
Keywords | DocType | ISSN |
Hash functions,Deep learning,Cloud computing,Runtime,Conferences,Load management,Data models | Conference | 2159-6182 |
ISBN | Citations | PageRank |
978-1-6654-0060-2 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoke Zhu | 1 | 78 | 7.77 |
| Qi Zhang | 2 | 113 | 15.49 |
| Taining Cheng | 3 | 0 | 0.34 |
| Ling Liu | 4 | 2181 | 142.51 |
| Wei Zhou | 5 | 8 | 2.53 |
| Jing He | 6 | 0 | 0.34 |