网络中间件高效数据流优化在思想在线交互系统中的应用

2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) Pub Date : 2021-09-02 DOI:10.1109/ICIRCA51532.2021.9544825

Zhong-hai Wu

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引用次数: 0

摘要

本文研究了应用于思想在线交互系统的互联网中间件的高效数据流优化问题。我们的应用研究主要是发现应用程序与数据库之间的调用关系和调用方法，进而明确应用程序模块与数据库调用中间件的兼容性特征，明确应用程序在各个模块转换中的转换点。超词级并行矢量化在更细的粒度上使用，然后将其应用于数据流分析。然后将所设计的模型应用于在线交互系统。该模型能有效提高在线课堂效率，反馈信息是正向的。

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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Efficient Data Flow Optimization for Internet Middleware on Application to Ideological Online Interactive System

Efficient data flow optimization for the Internet middleware on application to the ideological online interactive system is studied in this manuscript. Our application research is mainly to discover the calling relationship and calling methods between the application and the database, to then clarify the compatibility characteristics of the application modules and the database calling middleware, and to clarify the transformation points of the application in the conversion of each module. The superword-level parallel vectorization is used at a finer granularity, and then it will be applied for the data flow analysis. The designed model is then applied to the online interactive system. The proposed model can effectively improve the online class efficiency and the feedback information is positive.

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2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)

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