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Content Provider | IEEE Xplore Digital Library |
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Author | Hong Van Le Takasu, A. |
Copyright Year | 2015 |
Description | Author affiliation: Grad. Univ. for Adv. Studies Kanagawa, Kanagawa, Japan (Hong Van Le) || Nat. Inst. of Inf., Tokyo, Japan (Takasu, A.) |
Abstract | The recent ubiquity of sensors and GPS-enabled devices has resulted in an explosion of spatio-temporal data generated from probe cars, traffic sensors, and smart phones. To benefit from such data, intelligent transportation systems (ITS) need data storage that can handle the massive volume of data and support high-computational spatio-temporal queries. Although key-value store databases efficiently handle large-scale data, they are not equipped with effective functions for supporting spatio-temporal data. To solve this problem, we propose a lightweight, but powerful, spatio-temporal index structure based on key-value store databases. We adopted STCode, a longitude, latitude, and time-encoding algorithm, to build an index on top of HBase, a standard key-value store database. Our proposed index structure allows continuous updates of objects and provides an efficient prefix filter for supporting spatio-temporal data retrieval. Experimental results demonstrate the high performance of spatio-temporal queries with response time meeting the requirements of real-time query-processing systems. |
Starting Page | 2733 |
Ending Page | 2738 |
File Size | 926983 |
Page Count | 6 |
File Format | |
ISSN | 21530017 |
e-ISBN | 9781467365963 |
DOI | 10.1109/ITSC.2015.439 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-09-15 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Indexes Time factors Servers Real-time systems Spatial databases Roads real-time processing key-value store database HBase STCode spatiotemporal index |
Content Type | Text |
Resource Type | Article |
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