Storing and processing massive trajectory data on SAP HANA

Wang, Haozhou, Zheng, Kai, Jeung, Hoyoung, Bracher, Shane, Islam, Asadul, Sadiq, Wasim, Sadiq, Shazia and Zhou, Xiaofang (2015). Storing and processing massive trajectory data on SAP HANA. In: Mohamed A. Sharaf, Muhammad Aamir Cheema and Jianzhong Qi, Databases Theory and Applications. 26th Australasian Database Conference (ADC), Melbourne, Australia, (66-77). 4-7 Jun 2015. doi:10.1007/978-3-319-19548-3_6


Author Wang, Haozhou
Zheng, Kai
Jeung, Hoyoung
Bracher, Shane
Islam, Asadul
Sadiq, Wasim
Sadiq, Shazia
Zhou, Xiaofang
Title of paper Storing and processing massive trajectory data on SAP HANA
Conference name 26th Australasian Database Conference (ADC)
Conference location Melbourne, Australia
Conference dates 4-7 Jun 2015
Proceedings title Databases Theory and Applications   Check publisher's open access policy
Journal name Databases Theory and Applications   Check publisher's open access policy
Series Lecture Notes in Computer Science
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2015
Sub-type Fully published paper
DOI 10.1007/978-3-319-19548-3_6
Open Access Status Not Open Access
ISBN 9783319195476
9783319195483
ISSN 0302-9743
Editor Mohamed A. Sharaf
Muhammad Aamir Cheema
Jianzhong Qi
Volume 9093
Start page 66
End page 77
Total pages 12
Collection year 2016
Language eng
Abstract/Summary Owing to the development of cheap RAM-based storage technology, modern computing hardware can afford much larger main memory. Consequently, traditional database systems can be re-designed to store and manage all the data in main memory permanently. Such kind of in-memory database systems (IMDB) have attracted increasing attention from both academia and industry due to its outstanding performance in processing large amount of data. In this work, we will exploit the computational power of SAP HANA, the in-memory column-oriented data analytics platform designed by SAP, to support efficient query processing for moving object trajectories. We have tailored the frame-based data structure designed by our previous SharkDB project and made the trajectory data with variable lengths and sampling rates suitable for relational database model in SAP HANA. Extensive experiments based on large-scale real dataset have demonstrated superior performance of our frame-based design in processing a variant of queries.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

 
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