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Accessing Spatial Information: in Resource-constrained and Resource-rich Environments - Couverture souple

An, Ning

 
9783639103281: Accessing Spatial Information: in Resource-constrained and Resource-rich Environments
Couverture souple
ISBN 10 : 3639103289 ISBN 13 : 9783639103281
Editeur : VDM Verlag Dr. Müller, 2008

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Ning An has a Ph. D. in Computer Science and Engineering from the Pennsylvania State University, U.S.A., and has been an active researcher and developer in the Spatial Information Systems for many years. Currently, he works in the spatial development team at Oracle Corporation and servers as CuiYing Professor at Lanzhou University, P. R. China.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2008
Langue
anglais
ISBN 10 
3639103289
ISBN 13 
9783639103281
Reliure
Broché
Nombre de pages
224
Coordonnées du fabricant
non disponible
Personne responsable
non disponible