A Cloud-Based Trajectory Data Management System?

Ruiyuan Li; Sijie Ruan; Jie Bao; Yu Zheng

doi:10.1145/3139958.3139990

A Cloud-Based Trajectory Data Management System^?

Ruiyuan Li, Sijie Ruan, Jie Bao, Yu Zheng^*

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

17 引用（Scopus）

摘要

With the rapid development of location-acquisition techniques, massive trajectories are continuously generated. Many urban applications rely heavily on the data mining/analysis results of massive trajectory data. This demo presents a holistic data management system for both historical and real-time trajectory records based on a cloud platform, such as Microsoft Azure. The proposed system is able to efficiently support a variety of trajectory queries, including ID-Temporal query, Spatio-Temporal query, and Path-Temporal query. With these queries, we demonstrate that different urban applications can be realized in a much easier way.

源语言	英语
主期刊名	GIS
主期刊副标题	Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
编辑	Siva Ravada, Erik Hoel, Roberto Tamassia, Shawn Newsam, Goce Trajcevski, Goce Trajcevski
出版商	Association for Computing Machinery
ISBN（印刷版）	9781450354905
DOI	https://doi.org/10.1145/3139958.3139990
出版状态	已出版 - 7 11月 2017
已对外发布	是
活动	25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2017 - Redondo Beach, 美国期限: 7 11月 2017 → 10 11月 2017

出版系列

姓名	GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
卷	2017-November

会议

会议	25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2017
国家/地区	美国
市	Redondo Beach
时期	7/11/17 → 10/11/17

访问文件

10.1145/3139958.3139990

其它文件与链接

链接到 Scopus 的出版物

引用此

Li, R., Ruan, S., Bao, J., & Zheng, Y. (2017). A Cloud-Based Trajectory Data Management System^?. 在 S. Ravada, E. Hoel, R. Tamassia, S. Newsam, G. Trajcevski, & G. Trajcevski (编辑), GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems 文章 96 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems; 卷 2017-November). Association for Computing Machinery. https://doi.org/10.1145/3139958.3139990

Li, Ruiyuan ; Ruan, Sijie ; Bao, Jie 等. / A Cloud-Based Trajectory Data Management System^?. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. 编辑 / Siva Ravada ; Erik Hoel ; Roberto Tamassia ; Shawn Newsam ; Goce Trajcevski ; Goce Trajcevski. Association for Computing Machinery, 2017. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

@inproceedings{c9db0306f075414483cb14af5549ceb3,

title = "A Cloud-Based Trajectory Data Management System?",

abstract = "With the rapid development of location-acquisition techniques, massive trajectories are continuously generated. Many urban applications rely heavily on the data mining/analysis results of massive trajectory data. This demo presents a holistic data management system for both historical and real-time trajectory records based on a cloud platform, such as Microsoft Azure. The proposed system is able to efficiently support a variety of trajectory queries, including ID-Temporal query, Spatio-Temporal query, and Path-Temporal query. With these queries, we demonstrate that different urban applications can be realized in a much easier way.",

keywords = "Cloud Computing, Trajectory Data Management",

author = "Ruiyuan Li and Sijie Ruan and Jie Bao and Yu Zheng",

note = "Publisher Copyright: {\textcopyright} 2017 Copyright held by the owner/author(s).; 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2017 ; Conference date: 07-11-2017 Through 10-11-2017",

year = "2017",

month = nov,

day = "7",

doi = "10.1145/3139958.3139990",

language = "English",

isbn = "9781450354905",

series = "GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems",

publisher = "Association for Computing Machinery",

editor = "Siva Ravada and Erik Hoel and Roberto Tamassia and Shawn Newsam and Goce Trajcevski and Goce Trajcevski",

booktitle = "GIS",

}

Li, R, Ruan, S, Bao, J & Zheng, Y 2017, A Cloud-Based Trajectory Data Management System^?. 在 S Ravada, E Hoel, R Tamassia, S Newsam, G Trajcevski & G Trajcevski (编辑), GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems., 96, GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, 卷 2017-November, Association for Computing Machinery, 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2017, Redondo Beach, 美国, 7/11/17. https://doi.org/10.1145/3139958.3139990

A Cloud-Based Trajectory Data Management System^?. / Li, Ruiyuan; Ruan, Sijie; Bao, Jie 等.
GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems. 编辑 / Siva Ravada; Erik Hoel; Roberto Tamassia; Shawn Newsam; Goce Trajcevski; Goce Trajcevski. Association for Computing Machinery, 2017. 96 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems; 卷 2017-November).