Mathematical Modeling of Distributed Image Processing Algorithms

• Main Authors: Vlad Colceriu, Danut Mihon, Angela Minculescu, Dorian Gorgan
• Other Authors: The Pennsylvania State University CiteSeerX Archives
• Format: Text
• Language: English
• Subjects: Greenland
• Online Access: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.674.8664; http://www.thesai.org/Downloads/SpecialIssueNo7/Paper_6-Mathematical_Modeling_of_Distributed_Image.pdf?height%3D100%%26iframe%3Dtrue%26width%3D100%

Abstract—Satellite images play an important role in develop-ing 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. I.