珊瑚:基于深度强化学习的联邦查询连接顺序优化

IF 2.7 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

World Wide Web-Internet and Web Information Systems Pub Date : 2023-06-12 DOI:10.1007/s11280-023-01156-0

Rong Gu, Y. Zhang, Liangliang Yin, Lingyi Song, Wenjie Huang, C. Yuan, Zhaokang Wang, Guanghui Zhu, Yihua Huang

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Coral: federated query join order optimization based on deep reinforcement learning

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Coral: federated query join order optimization based on deep reinforcement learning

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来源期刊

World Wide Web-Internet and Web Information Systems 工程技术-计算机：软件工程

CiteScore

7.30

自引率

10.80%

发文量

131

审稿时长

6 months

期刊介绍： World Wide Web: Internet and Web Information Systems (WWW) is an international, archival, peer-reviewed journal which covers all aspects of the World Wide Web, including issues related to architectures, applications, Internet and Web information systems, and communities. The purpose of this journal is to provide an international forum for researchers, professionals, and industrial practitioners to share their rapidly developing knowledge and report on new advances in Internet and web-based systems. The journal also focuses on all database- and information-system topics that relate to the Internet and the Web, particularly on ways to model, design, develop, integrate, and manage these systems. Appearing quarterly, the journal publishes (1) papers describing original ideas and new results, (2) vision papers, (3) reviews of important techniques in related areas, (4) innovative application papers, and (5) progress reports on major international research projects. Papers published in the WWW journal deal with subjects directly or indirectly related to the World Wide Web. The WWW journal provides timely, in-depth coverage of the most recent developments in the World Wide Web discipline to enable anyone involved to keep up-to-date with this dynamically changing technology.