标题:Toward Real-Time High-Frequency Stock Monitoring System Using Node.js
作者:Qu, Hao; Ma, Kun; Yang, Zhe; Niu, Xuewei; Abraham, Ajith
通讯作者:Ma, Kun;Ma, K;Ma, K
作者机构:[Qu, Hao; Ma, Kun; Yang, Zhe; Niu, Xuewei] Univ Jinan, Sch Informat Sci & Engn, Jinan 250022, Shandong, Peoples R China.; [Ma, Kun] Univ Jinan, Shan 更多
会议名称:8th International Conference on Soft Computing and Pattern Recognition (SoCPaR) / 8th International Conference on Computational Aspects of Social Networks (CASoN)
会议日期:DEC 19-21, 2016
来源:PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2016)
出版年:2018
卷:614
页码:1-10
DOI:10.1007/978-3-319-60618-7_1
关键词:WebSocket; High frequency; Stock monitoring; Node.js; Socket.io
摘要:Investing in stocks is a very popular financial management for modern people. Accurate data is aided for investor to make better decisions. But there are some challenges to design such a real-time system to present high-Frequent data. This paper introduced a solution toward real-time high-frequency stock monitoring system. The architecture, process and implementation of this system are presented respectively. This system is better in real-time monitoring, distributed services, high degree of concurrency, and interactive user experience using cache, load balancing, and CDN techniques. It is evaluated that Node.js performed well with advantages of its single thread event-driven mode and asynchronous I/O when it was in the environment of high concurrency.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028607668&doi=10.1007%2f978-3-319-60618-7_1&partnerID=40&md5=d2470465f22f182a7985cc86ac6d4b01
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