Multi-dimensional phenomenon-aware stream query processing

2009 ◽  
Author(s):  
Ashish Bindra ◽  
Ankur Teredesai ◽  
Mohamed H. Ali ◽  
Walid G. Aref
Keyword(s):  
Query Processing ◽  
Stream Query Processing

XML Stream Query Processing

2010 ◽  
pp. 89-107
Author(s):  
Mingzhu Wei ◽  
Ming Li ◽  
Elke A. Rundensteiner ◽  
Murali Mani ◽  
Hong Su
Keyword(s):  
Query Processing ◽  
Input Data ◽  
Stream Processing ◽  
Query Execution ◽  
Data Semantics ◽  
Stream Query Processing ◽  
Xml Stream ◽  
And Algebra ◽  
Xml Streams ◽  
Compare And Contrast

Stream applications bring the challenge of efficiently processing queries on sequentially accessible XML data streams. In this chapter, the authors study the current techniques and open challenges of XML stream processing. Firstly, they examine the input data semantics in XML streams and introduce the state-of-the-art of XML stream processing. Secondly, they compare and contrast the automatonbased and algebra-based techniques used in XML stream query execution. Thirdly, they study different optimization strategies that have been investigated for XML stream processing – in particular, they discuss cost-based optimization as well as schema-based optimization strategies. Lastly but not least, the authors list several key open challenges in XML stream processing.

scholarly journals Geospatial stream query processing using Microsoft SQL Server StreamInsight

2010 ◽  
Vol 3 (1-2) ◽  
pp. 1537-1540 ◽  
Author(s):  
Seyed Jalal Kazemitabar ◽  
Ugur Demiryurek ◽  
Mohamed Ali ◽  
Afsin Akdogan ◽  
Cyrus Shahabi
Keyword(s):  
Query Processing ◽  
Sql Server ◽  
Stream Query Processing

scholarly journals In-Memory Based Incremental Processing Method for Stream Query Processing in Big Data Environments

2016 ◽  
Vol 16 (2) ◽  
pp. 163-173
Author(s):  
Kyoungsoo Bok ◽  
Misun Yook ◽  
Yeonwoo Noh ◽  
Jieun Han ◽  
Yeonwoo Kim ◽  
...  
Keyword(s):  
Big Data ◽  
Query Processing ◽  
Processing Method ◽  
Incremental Processing ◽  
Stream Query Processing
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