Statistical Analysis of Massive Data Streams

2004 ◽  
Keyword(s):  
Statistical Analysis ◽  
Data Streams ◽  
Massive Data

scholarly journals Tryton Supercomputer Capabilities for Analysis of Massive Data Streams

2015 ◽  
Vol 22 (3) ◽  
pp. 99-104 ◽  
Author(s):  
Henryk Krawczyk ◽  
Michał Nykiel ◽  
Jerzy Proficz
Keyword(s):  
Data Streams ◽  
3D Visualization ◽  
Massive Data ◽  
Software Components ◽  
Network Nodes ◽  
Computer Center ◽  
University Of Technology ◽  
The Status ◽  
Visualization Techniques ◽  
Massive Parallel Processing

Abstract The recently deployed supercomputer Tryton, located in the Academic Computer Center of Gdansk University of Technology, provides great means for massive parallel processing. Moreover, the status of the Center as one of the main network nodes in the PIONIER network enables the fast and reliable transfer of data produced by miscellaneous devices scattered in the area of the whole country. The typical examples of such data are streams containing radio-telescope and satellite observations. Their analysis, especially with real-time constraints, can be challenging and requires the usage of dedicated software components. We propose a solution for such parallel analysis using the supercomputer, supervised by the KASKADA platform, which with the conjunction with immerse 3D visualization techniques can be used to solve problems such as pulsar detection and chronometric or oil-spill simulation on the sea surface.

scholarly journals Real Time Anomaly Detection in Massive Data Streams with ELK Stack

2019 ◽  
Vol 15 (6) ◽  
pp. 814-823
Author(s):  
Jakup Fondaj ◽  
Zirije Hasani
Keyword(s):  
Anomaly Detection ◽  
Real Time ◽  
Data Streams ◽  
Massive Data

scholarly journals An Approximate L1 -Difference Algorithm for Massive Data Streams

2002 ◽  
Vol 32 (1) ◽  
pp. 131-151 ◽  
Author(s):  
Joan Feigenbaum ◽  
Sampath Kannan ◽  
Martin J. Strauss ◽  
Mahesh Viswanathan
Keyword(s):  
Data Streams ◽  
Massive Data
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