ACM Transactions on Database Systems (TODS)
Handbook of Computer Vision Algorithms in Image Algebra
Handbook of Computer Vision Algorithms in Image Algebra
Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
IEEE Transactions on Computers
Earth System Science Workbench: A Data Management Infrastructure for Earth Science Products
SSDBM '01 Proceedings of the 13th International Conference on Scientific and Statistical Database Management
Spatio-temporal aggregates over raster image data
Proceedings of the 12th annual ACM international workshop on Geographic information systems
A robust, low-cost virtual archive for science data
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
Querying streaming geospatial image data: the geostreams project
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
An Extensible Infrastructure for Processing Distributed Geospatial Data Streams
SSDBM '06 Proceedings of the 18th International Conference on Scientific and Statistical Database Management
Evaluation of a dynamic tree structure for indexing query regions on streaming geospatial data
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
A data and query model for streaming geospatial image data
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Information Sciences: an International Journal
A flexible framework for multisensor data fusion using data stream management technologies
Proceedings of the 2009 EDBT/ICDT Workshops
Social pixels: genesis and evaluation
Proceedings of the international conference on Multimedia
| Hi-index | 0.00 |
Remotely sensed data, in particular satellite imagery, play many important roles in environmental applications. In particular applications that study rapid changes in the environment require frequent access to these data. For continuous data products, users are often interested in formulating continuous queries that deliver results for each incoming image. In the presence of multiple continuous queries, there is clearly an opportunity to share common intermediate data and thus, increase the overall processing speed of the system.Based on the widely used GRASS, this paper describes a system that realizes multiple query processing using two major components. A query optimizer maintains the current set of active continuous queries. Queries are organized into a single processing plan designed to share intermediate results. For each new image from the stream, the optimizer generates an execution plan specific to the active queries. The query executor then rewrites this plan into a set of geospatial processing steps and executes the plan.We detail experiments using data from NOAA's GOES. Continuous queries are defined in a way similar to the OGC WMS query specification. Using predicted query patterns over the visible hemisphere of GOES, experimental results indicate that multiple-query optimized plans can improve performance significantly when compared to queries that are executed separately.