Title
SmartCube: An Adaptive Data Management Architecture for the Real-Time Visualization of Spatiotemporal Datasets.
Abstract
Interactive visualization and exploration of large spatiotemporal data sets is difficult without carefully-designed data pre-processing and management tools. We propose a novel architecture for spatiotemporal data management. The architecture can dynamically update itself based on user queries. Datasets is stored in a tree-like structure to support memory sharing among cuboids in a logical structure of data cubes. An update mechanism is designed to create or remove cuboids on it, according to the analysis of the user queries, with the consideration of memory size limitation. Data structure is dynamically optimized according to different user queries. During a query process, user queries are recorded to predict the performance increment of the new cuboid. The creation or deletion of a cuboid is determined by performance increment. Experiment results show that our prototype system deliveries good performance towards user queries on different spatiotemporal datasets, which costing small memory size with comparable performance compared with other state-of-the-art algorithms.
Year
DOI
Venue
2020
10.1109/TVCG.2019.2934434
IEEE transactions on visualization and computer graphics
Keywords
Field
DocType
Data visualization,Data structures,Spatiotemporal phenomena,Memory management,Task analysis,Real-time systems,Data aggregation
Data mining,Data structure,Data set,Visualization,Computer science,Theoretical computer science,Interactive visualization,Cuboid,Activity-based costing,Data management,Data cube
Journal
Volume
Issue
ISSN
26
1
1077-2626
Citations 
PageRank 
References 
1
0.35
18
Authors
4
Name
Order
Citations
PageRank
Can Liu1409.49
Cong Wu210.35
Hanning Shao321.37
Xiaoru Yuan4115770.28