Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure
This paper is on the optimization of computing resources to process geospatial image data in a cloud computing infrastructure. Parallelization was tested by combining two different strategies: image tiling and multi-threading. The objective here was to get insight on the optimal use of available pro...
Main Authors: | Pieter Kempeneers, Tomas Kliment, Luca Marletta, Pierre Soille |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/2/398 |
Similar Items
-
Brazil Data Cube Workflow Engine: a tool for big Earth observation data processing
by: Vitor C. F. Gomes, et al.
Published: (2024-12-01) -
FEDARGOS-V1: A Monitoring Architecture for Federated Cloud Computing Infrastructures
by: Vingi Patrick Nzanzu, et al.
Published: (2022-01-01) -
Communication infrastructures for cloud computing /
by: Mouftah, Hussein T., editor, et al.
Published: (2014) -
Cloud Computing Security in Openstack Architecture: General Overview
by: Gleb Igorevich Shakulo
Published: (2015-10-01) -
Analisis Implementasi Infrastructure as A Service Menggunakan Ubuntu Cloud Infrastruktur
by: Norma Fitra Puspa Rahma, et al.
Published: (2014-01-01)