Spatial Query Processing on AIS Data Streams in Data Stream Management Systems

Author(s):  
Tobias Brandt ◽  
Marco Grawunder
2017 ◽  
Vol 922 (4) ◽  
pp. 44-47 ◽  
Author(s):  
A.V. Materuhin

The article provides the analysis of the current situation in the use of data stream management systems (DSMS) and discusses the reasons why this technology is not used to develop geographic information systems. DSMS, despite its novelty, has ceased to be a pure research project and is used in industrial applications. However, this technology is not used to design the GIS, although the necessity of processing and analyzing of spatio-temporal data streams arises in many practically important applications. The essence of the current problematic situation is the gap between new technological capabilities and the lack of a theoretical framework for the processing and analysis of spatio-temporal data streams in DSMS. Existing spatial analytics algorithms are designed for relational databases with precomputed spatial indexes and are not suitable for DSMS. The article shows that, to resolve the current problematic situation with the geoinformation systems development based on DSMS should do the following


2007 ◽  
pp. 51-71 ◽  
Author(s):  
M. A. Hammad ◽  
T. M. Ghanem ◽  
W. G. Aref ◽  
A. K. Elmagarmid ◽  
M. F. Mokbel

2013 ◽  
Vol 284-287 ◽  
pp. 3507-3511 ◽  
Author(s):  
Edgar Chia Han Lin

Due to the great progress of computer technology and mature development of network, more and more data are generated and distributed through the network, which is called data streams. During the last couple of years, a number of researchers have paid their attention to data stream management, which is different from the conventional database management. At present, the new type of data management system, called data stream management system (DSMS), has become one of the most popular research areas in data engineering field. Lots of research projects have made great progress in this area. Since the current DSMS does not support queries on sequence data, this project will study the issues related to two types of data. First, we will focus on the content filtering on single-attribute streams, such as sensor data. Second, we will focus on multi-attribute streams, such as video films. We will discuss the related issues such as how to build an efficient index for all queries of different streams and the corresponding query processing mechanisms.


Author(s):  
Thomas Plagemann ◽  
Vera Goebel ◽  
Andrea Bergamini ◽  
Giacomo Tolu ◽  
Guillaume Urvoy-Keller ◽  
...  

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