Indexing of spatio-temporal telemetric data based on distributed mobile bucket index

Authors:
Marcin Gorawski;Adam Dyga
Affiliations:
Silesian University of Technology, Institute of Computer Science, Akademicka, Gliwice, Poland;Silesian University of Technology, Institute of Computer Science, Akademicka, Gliwice, Poland
Venue:
PDCN'06 Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks
Year:
2006

Citing 3
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DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery

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

Fundamenta Informaticae
Multi-dimensional dynamic bucket index based on mobile agent system architecture

DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Indexing of Spatio-Temporal Telemetric Data Based on Adaptive Multi-Dimensional Bucket Index

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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. 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.