A comparison of spatial query processing techniques for native and parameter spaces

Author(s):  
Jack Orenstein
Author(s):  
Wee Hyong Tok ◽  
Stéphane Bresan ◽  
Panagiotis Kalnis ◽  
Baihua Zhengl

The pervasiveness of mobile computing devices and wide-availability of wireless networking infrastructure have empowered users with applications that provides location-based services as well as the ability to pose queries to remote servers. This necessitates the need for adaptive, robust, and efficient techniques for processing the queries. In this chapter, we identify the issues and challenges of processing spatial data on the move. Next, we present insights on state-of-art spatial query processing techniques used in these dynamic, mobile environments. We conclude with several potential open research problems in this exciting area.


Author(s):  
Wee Hyong Tok ◽  
Stéphane Bressan ◽  
Panagiotis Kalnis ◽  
Baihua Zheng

The pervasiveness of mobile computing devices and wide-availability of wireless networking infrastructure have empowered users with applications that provides location-based services as well as the ability to pose queries to remote servers. This necessitates the need for adaptive, robust, and efficient techniques for processing the queries. In this chapter, we identify the issues and challenges of processing spatial data on the move. Next, we present insights on state-of-art spatial query processing techniques used in these dynamic, mobile environments. We conclude with several potential open research problems in this exciting area.


Author(s):  
Hangle Shin ◽  
Myong-Soo Lee ◽  
SangKeun Lee Chien Mei-Se ◽  
Shu-Jung Chang Lee ◽  
SangKeun Lee

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