Continuous spatial query processing over clustered data set

Thumbnail Image
Date
2018
Authors
Keykavoosamand, Farzin
University of Lethbridge. Faculty of Arts and Science
Journal Title
Journal ISSN
Volume Title
Publisher
Lethbridge, Alta. : Universtiy of Lethbridge, Department of Mathematics and Computer Science
Abstract
There exists an increasing usage rate of location-based information from mobile devices, which requires new query processing strategies. One such strategy is a moving (continuous) region query in which a moving user continuously sends queries to a central server to obtain data or information. In this thesis, we introduce two strategies to process a spatial moving query over clustered data sets. Both strategies utilize a validity region approach on the client in order to minimize the number of queries that are sent to the server. We explore the use of a two-dimensional indexing strategy, as well as the use of Expectation Maximization (EM) and k-means clustering. Our experiments show that both strategies outperform a Baseline strategy where all queries are sent to the server, with respect to data transmission, response time, and workload costs.
Description
Keywords
clustered data sets , continuous spatial query processing , mobile computing , moving region query , safe region , spatial moving query , Dissertations, Academic
Citation