TY - GEN
T1 - April
T2 - 29th ACM International Conference on Information and Knowledge Management, CIKM 2020
AU - Wang, Hongzhi
AU - Qi, Zhixin
AU - Zheng, Lei
AU - Feng, Yun
AU - Ouyang, Junfei
AU - Zhang, Haoqi
AU - Zhang, Xiangxi
AU - Shen, Ziming
AU - Liu, Shirong
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/10/19
Y1 - 2020/10/19
N2 - The great amount and complex structure of graph data bring a big challenge to graph data management. However, traditional management approaches cannot tackle the challenge. Fortunately, reinforcement learning provides a new approach to solve this problem due to its automation and adaptivity in decision making. Motivated by this, we develop April, an automatic graph data management system, which performs storage structure selection, index selection, and query optimization based on reinforcement learning. The system selects storage structure, indices effectively and automatically, and optimizes the SPARQL queries efficiently. April also offers a friendly interface for users, which allows users to interact with the system in a customized mode. We demonstrate the effectiveness and efficiency of April with two graph data benchmarks.
AB - The great amount and complex structure of graph data bring a big challenge to graph data management. However, traditional management approaches cannot tackle the challenge. Fortunately, reinforcement learning provides a new approach to solve this problem due to its automation and adaptivity in decision making. Motivated by this, we develop April, an automatic graph data management system, which performs storage structure selection, index selection, and query optimization based on reinforcement learning. The system selects storage structure, indices effectively and automatically, and optimizes the SPARQL queries efficiently. April also offers a friendly interface for users, which allows users to interact with the system in a customized mode. We demonstrate the effectiveness and efficiency of April with two graph data benchmarks.
KW - graph data management
KW - index selection
KW - query optimization
KW - reinforcement learning
KW - storage structure selection
UR - https://www.scopus.com/pages/publications/85095864185
U2 - 10.1145/3340531.3417422
DO - 10.1145/3340531.3417422
M3 - 会议稿件
AN - SCOPUS:85095864185
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 3465
EP - 3468
BT - CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management
PB - Association for Computing Machinery
Y2 - 19 October 2020 through 23 October 2020
ER -