Taking the Pulse of Financial Activities with Online Graph Processing

Q3 Computer Science

Operating Systems Review (ACM) Pub Date : 2021-06-04 DOI:10.1145/3469379.3469389

Xiaowei Zhu, Zhisong Fu, Zhenxuan Pan, Jin Jiang, Chuntao Hong, Yongchao Liu, Yang Fang, Wenguang Chen, Changhua He

引用次数: 3

Abstract

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.

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用在线图形处理把握金融活动的脉搏

图处理在蚂蚁集团的各种金融场景中被广泛采用，用于检测恶意和被禁止的用户行为。大数据量和高吞吐量下的低延迟要求对高效的在线图形处理提出了严峻的挑战。本文简要介绍了我们遇到的问题，目前的解决方案，以及我们正在探索的一些未来的方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Operating Systems Review (ACM) Computer Science-Computer Networks and Communications

CiteScore

2.80

自引率

0.00%

发文量

期刊介绍： Operating Systems Review (OSR) is a publication of the ACM Special Interest Group on Operating Systems (SIGOPS), whose scope of interest includes: computer operating systems and architecture for multiprogramming, multiprocessing, and time sharing; resource management; evaluation and simulation; reliability, integrity, and security of data; communications among computing processors; and computer system modeling and analysis.