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FYTG 5101 Presentation Data Management For Spatio-temporal Data Of PM 2.5 Indices Through Mobile Sensing Type of This Project: Survey Yun Wen
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Outlines Motivation ST Concepts and Models Storage Structure and Indexing
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Reliable?
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Project: Home Air Quality Sensor Network CO, O 2, PM2.5 Smoke, Temp Humidity +Electricity Consumption
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Spatiotemporal Data
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SpatioTemporal DataBase Management System Temporal DBMS: existance time, valid-time, transaction-time Spatial DBMS: GIS, environmental information system, trajectory and multimedia
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ER Temporal
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ER Spatial
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ER SpatioTemporal
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Storage Structure and Indexing 1D database indexing structures are not appropriate Quad trees K-D-B trees R-tree …..
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Quad tree
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Type of Data: region quadtree point quadtree Lines/curves quadtree Node Information: Four pointers (NW,NE,SW,SE) Point: key(x,y);value
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Quad tree Do not take paging of secondary memory into account Temporal: Linear Quadtree Improved: Overlapping Linear Quadtree
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K-D-B tree
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Region pages (region,child) + point pages(point,location) Same path length Disjoint page Union of all region in the child is region
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K-D-B tree Designed for paged memory, but are useful only for point data
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B+ tree
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R tree A B+ tree
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R tree
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Balanced-search tree Organize data in page Overlapped region n entries M maximum Variants: Hilbert R-tree X-tree R* tree, R+ tree
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Conclusion All trees are important Trade-off
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