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Accessing Spatial Information in Resource-constrained and Resource-rich Environments
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Over the past three decades, spatial information has§become prevalent in numerous applications. To meet§the demands of these applications, Spatial§Information Management Systems have achieved greatly§in storing, retrieving and processing spatial§information. The continuing advancement of§technologies, however, pushes the need for accessing§spatial information in drastically different§environments. At one end of the spectrum, the widely§popular Google Map and associated Cloud Computing§technologies demonstrate the power of accessing§spatial information in resource-rich environments. §At the other end, the growing location-based§applications in Apple iPhone and Google G1 phone§platforms highlight the huge potential of accessing§spatial information in resource-constrained§environments. This monograph is the first of its§kind in analyzing spatial index structures from both§energy and performance angles in resource-constrained§environments. In addition to developing effective§techniques to address general selectivity problems,§this monograph also examines issues in accessing§spatial information in resource-rich environments§including clusters and the Web.
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