Indexing of spatio-temporal telemetric data based on distributed mobile bucket index
Marcin Gorawski, Adam Dyga · International Conference on Parallel and Distributed Computing and Networks · 2006
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.