| import{_ as t,r as i,o as r,c as s,b as e,d as n,a as o}from"./app-Bp5kEZWW.js";const l={},g=e("h1",{id:"publication",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#publication"},[e("span",null,"Publication")])],-1),c=e("h2",{id:"research-papers",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#research-papers"},[e("span",null,"Research Papers")])],-1),h=e("p",null,"Apache IoTDB starts at Tsinghua University, School of Software. IoTDB is a database for managing large amount of time series data with columnar storage, data encoding, pre-computation, and index techniques. It has SQL-like interface to write millions of data points per second per node and is optimized to get query results in few seconds over trillions of data points. It can also be easily integrated with Apache Hadoop MapReduce and Apache Spark for analytics.",-1),d=e("p",null,"The research papers related are as follows:",-1),u={href:"https://sxsong.github.io/doc/23sigmod-iotdb.pdf",target:"_blank",rel:"noopener noreferrer"},p={href:"https://sxsong.github.io/doc/23sigmod-group.pdf",target:"_blank",rel:"noopener noreferrer"},m={href:"https://sxsong.github.io/doc/23kdd.pdf",target:"_blank",rel:"noopener noreferrer"},f={href:"https://sxsong.github.io/doc/23vldb-qaulity.pdf",target:"_blank",rel:"noopener noreferrer"},b={href:"https://sxsong.github.io/doc/22vldb-frequency.pdf",target:"_blank",rel:"noopener noreferrer"},_={href:"https://sxsong.github.io/doc/23icde-raft.pdf",target:"_blank",rel:"noopener noreferrer"},S={href:"https://sxsong.github.io/doc/23icde-sort.pdf",target:"_blank",rel:"noopener noreferrer"},T={href:"https://sxsong.github.io/doc/22vldb-encoding.pdf",target:"_blank",rel:"noopener noreferrer"},D={href:"https://sxsong.github.io/doc/22icde-separation.pdf",target:"_blank",rel:"noopener noreferrer"},I={href:"https://www.sciencedirect.com/science/article/pii/S0306437918305489",target:"_blank",rel:"noopener noreferrer"},W={href:"http://www.vldb.org/pvldb/vol13/p2901-wang.pdf",target:"_blank",rel:"noopener noreferrer"},k={href:"https://www.semanticscholar.org/paper/KV-match%3A-A-Subsequence-Matching-Approach-and-Time-Wu-Wang/9ed84cb15b7e5052028fc5b4d667248713ac8592",target:"_blank",rel:"noopener noreferrer"},x={href:"http://ndbc2019.sdu.edu.cn/info/1002/1044.htm",target:"_blank",rel:"noopener noreferrer"},J={href:"https://link.springer.com/chapter/10.1007/978-3-319-96893-3_8",target:"_blank",rel:"noopener noreferrer"},y={href:"https://dl.acm.org/citation.cfm?id=2983775&dl=ACM&coll=DL",target:"_blank",rel:"noopener noreferrer"},A=e("h2",{id:"benchmark-tools",tabindex:"-1"},[e("a",{class:"header-anchor",href:"#benchmark-tools"},[e("span",null,"Benchmark tools")])],-1),B=e("p",null,"We also developed Benchmark tools for time series databases",-1),C={href:"https://github.com/thulab/iot-benchmark",target:"_blank",rel:"noopener noreferrer"};function v(w,P){const a=i("ExternalLinkIcon");return r(),s("div",null,[g,c,h,d,e("ul",null,[e("li",null,[e("a",u,[n("Apache IoTDB: A Time Series Database for IoT Applications"),o(a)]),n(", Chen Wang, Jialin Qiao, Xiangdong Huang, Shaoxu Song, Haonan Hou, Tian Jiang, Lei Rui, Jianmin Wang, Jiaguang Sun. SIGMOD 2023.")]),e("li",null,[e("a",p,[n("Grouping Time Series for Efficient Columnar Storage"),o(a)]),n(", Chenguang Fang, Shaoxu Song, Haoquan Guan, Xiangdong Huang, Chen Wang, Jianmin Wang. SIGMOD 2023.")]),e("li",null,[e("a",m,[n("Learning Autoregressive Model in LSM-Tree based Store"),o(a)]),n(", Yunxiang Su, Wenxuan Ma, Shaoxu Song. SIGMOD 2023.")]),e("li",null,[e("a",f,[n("TsQuality: Measuring Time Series Data Quality in Apache IoTDB"),o(a)]),n(", Yuanhui Qiu, Chenguang Fang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang. VLDB 2023.")]),e("li",null,[e("a",b,[n("Frequency Domain Data Encoding in Apache IoTDB"),o(a)]),n(", Haoyu Wang, Shaoxu Song. VLDB 2023.")]),e("li",null,[e("a",_,[n("Non-Blocking Raft for High Throughput IoT Data"),o(a)]),n(", Tian Jiang, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang, Ruibo Li, Jincheng Sun. ICDE 2023.")]),e("li",null,[e("a",S,[n("Backward-Sort for Time Series in Apache IoTDB"),o(a)]),n(", Xiaojian Zhang, Hongyin Zhang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang. ICDE 2023.")]),e("li",null,[e("a",T,[n("Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB"),o(a)]),n(", Jinzhao Xiao, Yuxiang Huang, Changyu Hu, Shaoxu Song, Xiangdong Huang, Jianmin Wang. VLDB 2022.")]),e("li",null,[e("a",D,[n("Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree"),o(a)]),n(", Yuyuan Kang, Xiangdong Huang, Shaoxu Song, Lingzhe Zhang, Jialin Qiao, Chen Wang, Jianmin Wang, Julian Feinauer. ICDE 2022.")]),e("li",null,[e("a",I,[n("Dual-PISA: An index for aggregation operations on time series data"),o(a)]),n(", Jialin Qiao, Xiangdong Huang, Jianmin Wang, Raymond K Wong. IS 2020.")]),e("li",null,[e("a",W,[n("Apache IoTDB: time-series database for internet of things"),o(a)]),n(", 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.")]),e("li",null,[e("a",k,[n("KV-match: A Subsequence Matching Approach Supporting Normalization and Time Warping"),o(a)]),n(", Jiaye Wu and Peng Wang and Chen Wang and Wei Wang and Jianmin Wang. ICDE 2019.")]),e("li",null,[e("a",x,[n("The Design of Apache IoTDB distributed framework"),o(a)]),n(", Tianan Li, Jianmin Wang, Xiangdong Huang, Yi Xu, Dongfang Mao, Jun Yuan. NDBC 2019.")]),e("li",null,[e("a",J,[n("Matching Consecutive Subpatterns over Streaming Time Series"),o(a)]),n(", Rong Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM 2018.")]),e("li",null,[e("a",y,[n("PISA: An Index for Aggregating Big Time Series Data"),o(a)]),n(", Xiangdong Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM 2016.")])]),A,B,e("p",null,[e("a",C,[n("https://github.com/thulab/iot-benchmark"),o(a)])])])}const M=t(l,[["render",v],["__file","Publication.html.vue"]]),L=JSON.parse('{"path":"/UserGuide/latest/IoTDB-Introduction/Publication.html","title":"Publication","lang":"en-US","frontmatter":{"description":"Publication Research Papers Apache IoTDB starts at Tsinghua University, School of Software. IoTDB is a database for managing large amount of time series data with columnar stora...","head":[["link",{"rel":"alternate","hreflang":"zh-cn","href":"https://iotdb.apache.org/zh/UserGuide/latest/IoTDB-Introduction/Publication.html"}],["meta",{"property":"og:url","content":"https://iotdb.apache.org/UserGuide/latest/IoTDB-Introduction/Publication.html"}],["meta",{"property":"og:site_name","content":"IoTDB Website"}],["meta",{"property":"og:title","content":"Publication"}],["meta",{"property":"og:description","content":"Publication Research Papers Apache IoTDB starts at Tsinghua University, School of Software. IoTDB is a database for managing large amount of time series data with columnar stora..."}],["meta",{"property":"og:type","content":"article"}],["meta",{"property":"og:locale","content":"en-US"}],["meta",{"property":"og:locale:alternate","content":"zh-CN"}],["meta",{"property":"og:updated_time","content":"2024-04-09T02:49:42.000Z"}],["meta",{"property":"article:modified_time","content":"2024-04-09T02:49:42.000Z"}],["script",{"type":"application/ld+json"},"{\\"@context\\":\\"https://schema.org\\",\\"@type\\":\\"Article\\",\\"headline\\":\\"Publication\\",\\"image\\":[\\"\\"],\\"dateModified\\":\\"2024-04-09T02:49:42.000Z\\",\\"author\\":[]}"]]},"headers":[{"level":2,"title":"Research Papers","slug":"research-papers","link":"#research-papers","children":[]},{"level":2,"title":"Benchmark tools","slug":"benchmark-tools","link":"#benchmark-tools","children":[]}],"git":{"createdTime":1688958677000,"updatedTime":1712630982000,"contributors":[{"name":"CritasWang","email":"critas@outlook.com","commits":1},{"name":"Jiang Tian","email":"jt2594838@163.com","commits":1}]},"readingTime":{"minutes":2.14,"words":641},"filePathRelative":"UserGuide/latest/IoTDB-Introduction/Publication.md","localizedDate":"July 10, 2023","autoDesc":true}');export{M as comp,L as data}; |