Managing Moving Objects in the Context of Streaming Spatio-Temporal Data
نویسندگان
چکیده
Managing moving objects in DSMS has recently been a focus of a relatively intense research. In this paper, we are concerned with data streams containing a location of a moving object at any time instant. Instead of using spatial and time instant data types separately, for representing spatio-temporal characteristics of data streams, we propose a unified approach based on specialized temporal data type constructor. This type constructor, parameterized with a spatial type representing objects location, yields a corresponding type whose values are pairs, consisting of an instant in time and a value of spatial type. With this approach, it is possible to represent temporal development of objects’ location within one time interval by using two consecutive values of this temporal data type. Since moving object is basically obtained just by assembling these temporal developments whose time intervals are disjoint, we also propose an approach for extracting moving objects out of spatio-temporal data streams based on user-defined aggregate functions (UDAF) over spatio-temporal data types. With this approach, it is possible to manage moving objects encapsulated within spatio-temporal data streams using SQL-like query language.
منابع مشابه
Context-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network
Context-aware systems must be interoperable and work across different platforms at any time and in any place. Context data collected from wireless body area networks (WBAN) may be heterogeneous and imperfect, which makes their design and implementation difficult. In this research, we introduce a model which takes the dynamic nature of a context-aware system into consideration. This model is con...
متن کاملSpatio-Temporal Indexing Methods for Moving Objects for Highly Interactive Environment - Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International
This paper deals with spatio-temporal indexing methods for moving objects. Spatio-temporal indexing method gives a basis for data management structure for efficient search for large scale spatio-temporal data. In this paper. t\co types of indexing methods are proposed for managing spatio-temporal data for moving objects. Both methods are evaluated by computer simulation. and the merits and deme...
متن کاملEvaluation of a Dynamic Tree Structure for Indexing Query Regions on Streaming Geospatial Data
Most recent research on querying and managing data streams has concentrated on traditional data models where the data come in the form of tuples or XML data. Complex types of streaming data, in particular spatio-temporal data, have primarily been investigated in the context of moving objects and location-aware services. In this paper, we study query processing and optimization aspects for strea...
متن کاملSpatial and Spatio-Temporal Data Models and Languages
DEFINITION A data model provides a formalism consisting of a notation for describing data of interest and of a set of operations for manipulating these data. It abstracts from reality and provides a generalized view of data representing a specific and bounded scope of the real world. In the context of databases, a data model describes the organization, that is, the structure, of a database. In ...
متن کاملClustering Moving Objects for Spatio-temporal Selectivity Estimation
Many spatio-temporal applications involve managing and querying moving objects. In such an environment, predictive spatio-temporal queries become an important query class to be processed to capture the nature of moving objects. In this paper, we investigated the problem of selectivity estimation for predictive spatio-temporal queries. We propose a novel histogram technique based on a clustering...
متن کامل