Open AccessA Docker-based HPC architecture for RS imagery processing
Author(s) -
Fenghua Hu,
Jingliang Zhang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/509/1/012026
Subject(s) - software deployment , container (type theory) , computer science , architecture , supercomputer , field (mathematics) , resource (disambiguation) , computer architecture , software , embedded system , virtualization , operating system , distributed computing , cloud computing , computer network , engineering , mechanical engineering , art , mathematics , pure mathematics , visual arts
Remote sensing imagery processing requires strong computing demand. HPC can provides powerful computing capability and has been proved as an efficient approach for acceleration. To build and deploy a HPC is costly due to its complexity and need of dedicated hardware and this restricts its application in RS field. Docker is a container technology and can simplify software deployment and improve resource utilization. This paper proposes an architecture which is based on Docker and can lower the barrier to use HPC for average user. It greatly simplifies deployment of HPC as well as improve the resource utilization by sharing with other applications.