Title :
Spatio-temporal data management for highly interactive environment
Author :
Naka, Atsuki ; Saiwaki, Naoki ; Nishida, Shogo
Author_Institution :
Graduate Sch. of Eng. Sci., Osaka Univ., Japan
Abstract :
This paper deals with data management structures for efficient search for large scale spatio-temporal data. We propose adaptive tree structure (We call the AT Structure), in which either spatio data structure or temporal data structure is selected adaptively depending on the demand of search. This paper describes an outline of the proposed data structure for large scale spatio-temporal data. The concrete data structure and its performance by computer simulation are discussed
Keywords :
digital simulation; performance evaluation; spatial data structures; temporal databases; tree data structures; visual databases; adaptive tree structure; computer simulation; data management structures; data structure; highly interactive environment; performance; spatio-temporal data management; Computer simulation; Concrete; Data engineering; Data structures; Design automation; Engineering management; Environmental management; Humans; Large-scale systems; Tree data structures;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.625813