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Proceedings Paper

Performance analysis of sliding window filtering of two dimensional signals based on stream data processing systems
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Paper Abstract

This research article contains an experiment with implementation of image filtering task in Apache Storm and IBM InfoSphere Streams stream data processing systems. The aim of presented research is to show that new technologies could be effectively used for sliding window filtering of image sequences. The analysis of execution was focused on two parameters: throughput and memory consumption. Profiling was performed on CentOS operating systems running on two virtual machines for each system. The experiment results showed that IBM InfoSphere Streams has about 1.5 to 13.5 times lower memory footprint than Apache Storm, but could be about 2.0 to 2.5 slower on a real hardware.

Paper Details

Date Published: 26 March 2016
PDF: 10 pages
Proc. SPIE 9807, Optical Technologies for Telecommunications 2015, 98070Z (26 March 2016); doi: 10.1117/12.2231384
Show Author Affiliations
Nikolay Kazanskiy, Samara State Aerospace Univ. (Russian Federation)
Image Processing Systems Institute (Russian Federation)
Vladimir Protsenko, Samara State Aerospace Univ. (Russian Federation)
Image Processing Systems Institute (Russian Federation)
Pavel Serafimovich, Samara State Aerospace Univ. (Russian Federation)
Image Processing Systems Institute (Russian Federation)


Published in SPIE Proceedings Vol. 9807:
Optical Technologies for Telecommunications 2015
Vladimir A. Andreev; Anton V. Bourdine; Vladimir A. Burdin; Oleg G. Morozov; Albert H. Sultanov, Editor(s)

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