Next Article in Journal
Application of a Non-Immersive VR, IoT Based Approach to Help Moroccan Students Carry Out Practical Activities in a Personal Learning Style
Previous Article in Journal
Object Detection Network Based on Feature Fusion and Attention Mechanism
Previous Article in Special Issue
A Method for Filtering Pages by Similarity Degree based on Dynamic Programming
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle

THBase: A Coprocessor-Based Scheme for Big Trajectory Data Management

College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China
Author to whom correspondence should be addressed.
Future Internet 2019, 11(1), 10;
Received: 5 November 2018 / Revised: 12 December 2018 / Accepted: 27 December 2018 / Published: 3 January 2019
PDF [2321 KB, uploaded 3 January 2019]
  |     |  


The rapid development of distributed technology has made it possible to store and query massive trajectory data. As a result, a variety of schemes for big trajectory data management have been proposed. However, the factor of data transmission is not considered in most of these, resulting in a certain impact on query efficiency. In view of that, we present THBase, a coprocessor-based scheme for big trajectory data management in HBase. THBase introduces a segment-based data model and a moving-object-based partition model to solve massive trajectory data storage, and exploits a hybrid local secondary index structure based on Observer coprocessor to accelerate spatiotemporal queries. Furthermore, it adopts certain maintenance strategies to ensure the colocation of relevant data. Based on these, THBase designs node-locality-based parallel query algorithms by Endpoint coprocessor to reduce the overhead caused by data transmission, thus ensuring efficient query performance. Experiments on datasets of ship trajectory show that our schemes can significantly outperform other schemes. View Full-Text
Keywords: trajectory data; HBase; coprocessor; spatiotemporal query trajectory data; HBase; coprocessor; spatiotemporal query

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Qin, J.; Ma, L.; Niu, J. THBase: A Coprocessor-Based Scheme for Big Trajectory Data Management. Future Internet 2019, 11, 10.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Future Internet EISSN 1999-5903 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top