Indexing of Spatio-Temporal Telemetric Data Based on Adaptive Multi-Dimensional Bucket Index

Authors:
Marcin Gorawski;Adam Dyga
Affiliations:
(Correspd.) Silesian University of Technology, Institute of Computer Science, Akademicka 16, 44-100 Gliwice, Poland. M.Gorawski@polsl.pl/ A.Dyga@polsl.pl;Silesian University of Technology, Institute of Computer Science, Akademicka 16, 44-100 Gliwice, Poland. M.Gorawski@polsl.pl/ A.Dyga@polsl.pl
Venue:
Fundamenta Informaticae
Year:
2009

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Abstract

This paper describes the idea of a multi-dimensional bucket index designed for efficient indexing of telemetric readings. This data structure answers spatio-temporal range queries concerning utility usage within user selected region and time. In addition, it has a capability to adjust to incoming data and therefore is suitable to process data of highly dynamic nature. The paper also presents a stochastic prediction method to estimate utility usage in the near future.