公开发表

研究论文

Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量时间序列数据的数据库，它采用了列式存储、数据编码、预计算和索引技术，具有类 SQL 的接口，可支持每秒每节点写入数百万数据点，可以秒级获得超过数万亿个数据点的查询结果。它还可以很容易地与 Apache Hadoop、MapReduce 和 Apache Spark 集成以进行分析。

相关研究论文如下：

• Apache IoTDB: time-series database for internet of thingsopen in new window, Chen Wang, Xiangdong Huang, Jialin Qiao, Tian Jiang, Lei Rui, Jinrui Zhang, Rong Kang, Julian Feinauer, Kevin A. McGrail, Peng Wang, Jun Yuan, Jianmin Wang, Jiaguang Sun. VLDB 2020
• PISA: An Index for Aggregating Big Time Series Dataopen in new window, Xiangdong Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM 2016.
• Matching Consecutive Subpatterns over Streaming Time Seriesopen in new window, Rong Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM 2018.
• KV-match: A Subsequence Matching Approach Supporting Normalization and Time Warpingopen in new window, Jiaye Wu and Peng Wang and Chen Wang and Wei Wang and Jianmin Wang. ICDE 2019.
• The Design of Apache IoTDB distributed frameworkopen in new window, Tianan Li, Jianmin Wang, Xiangdong Huang, Yi Xu, Dongfang Mao, Jun Yuan. NDBC 2019
• Dual-PISA: An index for aggregation operations on time series dataopen in new window, Jialin Qiao, Xiangdong Huang, Jianmin Wang, Raymond K Wong. IS 2020

Benchmark 工具

我们还研发了面向时间序列数据库的 Benchmark 工具：

https://github.com/thulab/iot-benchmarkopen in new window