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Aggregating and Querying Geo-Streams : From static sensors to Evolving Phenomena

Chengyang Zhang Computer Science Department University of North Texas. Aggregating and Querying Geo-Streams : From static sensors to Evolving Phenomena. Refers to data emitted by geo-referenced sensors and sensor networks, such as water level , vehicle speed

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Aggregating and Querying Geo-Streams : From static sensors to Evolving Phenomena

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  1. Chengyang Zhang Computer Science Department University of North Texas Aggregating and Querying Geo-Streams: From static sensorsto Evolving Phenomena

  2. CRI Group Meeting Refers to data emitted by geo-referenced sensors and sensor networks, such as water level, vehicle speed Queries are often interested in moving/evolving phenomena, such as flood, traffic jam Need to bridge the gap between the point observations and continuous phenomena in REAL time. Geo-Stream

  3. CRI Group Meeting From Point Observations to Moving Regions

  4. CRI Group Meeting Supporting spatio-temporal stream data types Allow geo-streams to be grouped according to spatial proximity and then elevated into streaming regions Query Processing and Optimization Challenges

  5. CRI Group Meeting 1. Stream Data Types SMU Talk March 26, 2008 5

  6. CRI Group Meeting 2. Generalize Aggregate Functions SMU Talk March 26, 2008 6

  7. CRI Group Meeting Generalize Aggregate Functions SMU Talk March 26, 2008 7

  8. CRI Group Meeting 3. Query Optimization SMU Talk March 26, 2008 8

  9. CRI Group Meeting Semantics-based Optimization SMU Talk March 26, 2008 9

  10. CRI Group Meeting Incremental Optimization SMU Talk March 26, 2008 10

  11. CRI Group Meeting Experimental Results SMU Talk March 26, 2008 11

  12. CRI Group Meeting Experimental Results SMU Talk March 26, 2008 12

  13. CRI Group Meeting Questions?

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