Name
Abstract | ||
|---|---|---|
The industry and academia have proposed many distributed graph processing systems. However, the existing systems are not friendly enough for users like data analysts and algorithm engineers. On the one hand, the programming models and interfaces differ a lot in the existing systems, leading to high learning costs and program migration costs. On the other hand, these graph processing systems are ti... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICPADS53394.2021.00020 | 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) |
Keywords | DocType | ISBN |
Industries,Costs,Computational modeling,Scalability,Conferences,Programming,Distributed computing | Conference | 978-1-6654-0878-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhaokang Wang | 1 | 17 | 5.17 |
| Junhong Li | 2 | 0 | 0.34 |
| Yifan Qi | 3 | 0 | 0.34 |
| Guanghui Zhu | 4 | 0 | 0.68 |
| Chunfeng Yuan | 5 | 5 | 6.90 |
| Yihua Huang | 6 | 8 | 6.61 |