Indexing of Spatio-Temporal Telemetric Data based on Distributed Mobile Bucket Index

M. Gorawski and A. Dyga (Poland)


Telemetric readings, bucket index, exponentialsmoothing, mobile agents, workload balancing.


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. It has a capability of adjusting to incoming data and therefore is suitable to process data of highly dynamic nature. A stochastic prediction method is used to estimate utility usage in the near future. The real world implementation employs mobile agent system which facilitates effective workload balancing of network hosts.

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