Comparison of system performance for streaming data analysis in image processing tasks by sliding window

Автор: Kazanskiy Nikolay Lvovich, Protsenko Vladimir Igorevich, Serafimovich Pavel Grigorievich

Журнал: Компьютерная оптика @computer-optics

Рубрика: Технологии дистанционного зондирования земли

Статья в выпуске: 4 т.38, 2014 года.

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Comparison of two streaming systems, Apache Storm and IBM InfoSphere Streams, was performed when solving a problem of image filtering by a sliding window. The analysis was conducted for two parameters: throughput and memory consumption. Testing was performed under CentOS operating systems running on two virtual machines for each system. First, the most cheap to develop realizations were compared. Following the analysis, optimization of memory consumption was performed. Suggestions on the prospective application areas of two systems were made in the Conclusion.

Big data, stream processing, a set of images, sliding window, used computer memory, image processing

Короткий адрес: https://sciup.org/14059311

IDR: 14059311

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