Proceedings Paper
Distributed storage and parallel processing for large-size optical images| Format | Member Price | Non-Member Price |
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Paper Abstract
We present a distributed image approach to image data management in distributed storage and parallel processing
systems. This approach allows to avoid parallel processing bottlenecks and overlap concerned with image data
read/write. The distributed image is defined as a set of the overlap fragments. Their overlap size is determined by
the requirements of fault tolerance and dynamic load balancing. Within this concept, we propose a decentralized
method for dynamic load balancing of parallel computing and visualization solutions for large-size distributed
images.
Paper Details
Date Published: 26 April 2012
PDF: 11 pages
Proc. SPIE 8410, Optical Technologies for Telecommunications 2011, 84100I (26 April 2012); doi: 10.1117/12.928441
Published in SPIE Proceedings Vol. 8410:
Optical Technologies for Telecommunications 2011
Vladimir A. Andreev; Vladimir A. Burdin; Albert H. Sultanov; Oleg G. Morozov, Editor(s)
PDF: 11 pages
Proc. SPIE 8410, Optical Technologies for Telecommunications 2011, 84100I (26 April 2012); doi: 10.1117/12.928441
Show Author Affiliations
Nikolay L. Kazanskiy, Image Processing Systems Institute (Russian Federation)
Samara State Aerospace Univ. (Russian Federation)
Samara State Aerospace Univ. (Russian Federation)
Sergey B. Popov, Image Processing Systems Institute (Russian Federation)
Published in SPIE Proceedings Vol. 8410:
Optical Technologies for Telecommunications 2011
Vladimir A. Andreev; Vladimir A. Burdin; Albert H. Sultanov; Oleg G. Morozov, Editor(s)
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