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An efficient approach to the deployment of complex open source information systems
Complex open source information systems are usually implemented as component-based software to inherit the available functionality of existing software packages developed by third parties. Consequently, the deployment of these systems not only requires the installation of operating system, applicati...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218515/ https://www.ncbi.nlm.nih.gov/pubmed/22102770 |
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author | Cong, Truong Van Chi Groeneveld, Eildert |
author_facet | Cong, Truong Van Chi Groeneveld, Eildert |
author_sort | Cong, Truong Van Chi |
collection | PubMed |
description | Complex open source information systems are usually implemented as component-based software to inherit the available functionality of existing software packages developed by third parties. Consequently, the deployment of these systems not only requires the installation of operating system, application framework and the configuration of services but also needs to resolve the dependencies among components. The problem becomes more challenging when the application must be installed and used on different platforms such as Linux and Windows. To address this, an efficient approach using the virtualization technology is suggested and discussed in this paper. The approach has been applied in our project to deploy a web-based integrated information system in molecular genetics labs. It is a low-cost solution to benefit both software developers and end-users. |
format | Online Article Text |
id | pubmed-3218515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-32185152011-11-18 An efficient approach to the deployment of complex open source information systems Cong, Truong Van Chi Groeneveld, Eildert Bioinformation Views & Challenges Complex open source information systems are usually implemented as component-based software to inherit the available functionality of existing software packages developed by third parties. Consequently, the deployment of these systems not only requires the installation of operating system, application framework and the configuration of services but also needs to resolve the dependencies among components. The problem becomes more challenging when the application must be installed and used on different platforms such as Linux and Windows. To address this, an efficient approach using the virtualization technology is suggested and discussed in this paper. The approach has been applied in our project to deploy a web-based integrated information system in molecular genetics labs. It is a low-cost solution to benefit both software developers and end-users. Biomedical Informatics 2011-10-14 /pmc/articles/PMC3218515/ /pubmed/22102770 Text en © 2011 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Views & Challenges Cong, Truong Van Chi Groeneveld, Eildert An efficient approach to the deployment of complex open source information systems |
title | An efficient approach to the deployment of complex open source information systems |
title_full | An efficient approach to the deployment of complex open source information systems |
title_fullStr | An efficient approach to the deployment of complex open source information systems |
title_full_unstemmed | An efficient approach to the deployment of complex open source information systems |
title_short | An efficient approach to the deployment of complex open source information systems |
title_sort | efficient approach to the deployment of complex open source information systems |
topic | Views & Challenges |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218515/ https://www.ncbi.nlm.nih.gov/pubmed/22102770 |
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