Indexing of Spatio-Temporal Telemetric Data Based on Adaptive Multi-Dimensional Bucket Index
Marcin Gorawski, Adam Dyga · Fundamenta Informaticae · 2009
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.