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

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; https://doi.org/10.3390/fi11010010
Received: 5 November 2018 / Revised: 12 December 2018 / Accepted: 27 December 2018 / Published: 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
Show Figures

Figure 1

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. https://doi.org/10.3390/fi11010010

AMA Style

Qin J, Ma L, Niu J. THBase: A Coprocessor-Based Scheme for Big Trajectory Data Management. Future Internet. 2019; 11(1):10. https://doi.org/10.3390/fi11010010

Chicago/Turabian Style

Qin, Jiwei, Liangli Ma, and Jinghua Niu. 2019. "THBase: A Coprocessor-Based Scheme for Big Trajectory Data Management" Future Internet 11, no. 1: 10. https://doi.org/10.3390/fi11010010

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

Article Access Map by Country/Region

1
Back to TopTop