Taking the Pulse of Financial Activities with Online Graph Processing
| Autor: | Zhenxuan Pan, Changhua He, Jin Jiang, Chuntao Hong, Yang Fang, Zhisong Fu, Yongchao Liu, Xiaowei Zhu, Wenguang Chen |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Finance business.industry Computer science Big data Volume (computing) 02 engineering and technology 01 natural sciences 020202 computer hardware & architecture 0103 physical sciences 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences Graph (abstract data type) Latency (engineering) business Throughput (business) General Environmental Science |
| Zdroj: | ACM SIGOPS Operating Systems Review. 55:84-87 |
| ISSN: | 0163-5980 |
| Popis: | Graph processing has been widely adopted in various financial scenarios at Ant Group to detect malicious and prohibited user behaviors. The low latency requirement under big data volume and high throughput raises rigorous challenges for efficient online graph processing. This paper gives a brief introduction of our encountered issues, the current solutions, and some future directions we are exploring. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|