Mathematical Modeling of Distributed Image Processing Algorithms

Special Issue(SpecialIssue), 3(3), 2013 Satellite images play an important role in developing Geographical Information System software applications that prove to be useful for different Earth Science phenomena analysis. Accurate results are obtained from high resolution images, or by applying the sa...

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Bibliographic Details
Published in:International Journal of Advanced Computer Science and Applications
Main Authors: Vlad Colceriu, Danut Mihon, Angela Minculescu, Victor Bacu, Denisa Rodila, Dorian Gorgan
Format: Text
Language:English
Published: The Science and Information (SAI) Organization 2013
Subjects:
Online Access:https://doi.org/10.14569/SpecialIssue.2013.030306
Description
Summary:Special Issue(SpecialIssue), 3(3), 2013 Satellite images play an important role in developing Geographical Information System software applications that prove to be useful for different Earth Science phenomena analysis. Accurate results are obtained from high resolution images, or by applying the same algorithm multiple times over a specific input data set. In both cases the data volume that needs to be processed is large, and usually involves distributed infrastructures. In order for non-technical users to use these algorithms, they should be described in a flexible manner, using workflow structure models. This paper highlights the main achievements within the GreenLand platform, regarding scheduling, executing, and monitoring the Grid processes. Its development is based on simple, but powerful, notion of mathematical directed acyclic graphs that are used in parallel and distributed executions over the Grid infrastructure. http://thesai.org/Downloads/SpecialIssueNo7/Paper_6-Mathematical_Modeling_of_Distributed_Image.pdf