Abstract
The process of adapting data warehouse solutions for application in many areas of everyday life causes that data warehouses are used for storing and processing many, often far from standard, kinds of data like maps, videos, clickstreams to name a few. A new type of data – stream data, generated by many types of systems like traffic monitoring or telemetry systems, created a motivation for a new concept, a stream data warehouse. In this paper we address a problem of indexing spatial objects generating streams of data with spatial indexing structure. Basing on our motivation, a telemetric system of integrated meter readings, and utilizing the results of our previous work, we extend the solution we created for processing long but limited aggregates lists to make it applicable for processing data streams. Then we describe the process of adapting a spatial indexing structure for usage in a stream data warehouse by modifying both the structure of the index nodes and the operation of the algorithm answering the range aggregate queries. The paper contains also experimental evaluation of the proposed solution.
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Gorawski, M., Malczok, R. (2010). Indexing Spatial Objects in Stream Data Warehouse. In: Nguyen, N.T., Katarzyniak, R., Chen, SM. (eds) Advances in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12090-9_5
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DOI: https://doi.org/10.1007/978-3-642-12090-9_5
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