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Published on: February 25, 2021
A web service-based Grid portal for Edgebreaker compression.
G Aloisio1, M C Barba, E Blasi
1Center for Advanced Computational Techniques/ISUFI, Dept. of Innovation Engineering, University of Lecce, via per Monteroni, 73100 Lecce, Italy. giovanni.aloisio@unile.it
This study implements Edgebreaker compression via web services in a Grid portal for efficient 3D medical image transfer. This enables faster processing and remote visualization of large datasets.
Area of Science:
- Computer Science
- Medical Imaging
- Grid Computing
Background:
- Increasing internet access to 3D datasets necessitates efficient compression for rapid transfer.
- Grid and Web Services technologies offer a framework for interoperable application interactions.
Purpose of the Study:
- Implement Edgebreaker compression using web services within a Grid Portal.
- Enable distributed processing and delivery of biomedical images (CT, MRI) using computational Grids.
Main Methods:
- Deployed Edgebreaker Compression Web Service on a Grid portal.
- Utilized Globus Toolkit GSI for secure compression/decompression of 3D data.
- Modified the algorithm to support compression of multi-object files.
Main Results:
- Presented implementation of Edgebreaker compression technique with experimental results.
- Demonstrated efficient storage and preprocessing of large 3D datasets.
- Facilitated subsequent efficient transmission for remote visualization.
Conclusions:
- The developed Grid portal effectively utilizes Edgebreaker compression for handling large 3D medical image datasets.
- The approach enables efficient data transmission and remote visualization in a distributed environment.
- This integration enhances the utility of Grid technologies for biomedical applications.
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