Hybrid Software Deployment Strategy for Complex Industrial Systems
Complex industrial systems run the different pieces of software in several interconnected physical layers. The software update in such an environment must be performed in the shortest possible period with the lowest possible resource usage. Namely, it is critical to minimize the data traffic, decrea...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-07-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/14/2186 |
| _version_ | 1797406691192471552 |
|---|---|
| author | Petar Rajković Dejan Aleksić Andjelija Djordjević Dragan Janković |
| author_facet | Petar Rajković Dejan Aleksić Andjelija Djordjević Dragan Janković |
| author_sort | Petar Rajković |
| collection | DOAJ |
| description | Complex industrial systems run the different pieces of software in several interconnected physical layers. The software update in such an environment must be performed in the shortest possible period with the lowest possible resource usage. Namely, it is critical to minimize the data traffic, decrease software downtime, and reduce the impact of the transitional stage during the update process. To meet these requirements and to unify the update process, the common software node structure along with a hybrid software deployment strategy is proposed. The hybrid strategy is defined as a combination of the existing and well-tested techniques—blue/green, canary, and feature flags. The main aim was to utilize their positive sides and to obtain a better overall effect. The approach was tested in the simulation environment, based on the realistic factory layout, and running the software related to the enterprise resource planning (ERP) level. For successful updates, the proposed hybrid deployment method reduced downtime on server nodes to less than 5% and on client nodes to a half compared with the standard approach. The volume of data traffic reduction in a configuration with sentinel nodes is reduced by one-third. The presented results look promising, especially in cases of erroneous updates when a roll back is needed, where the downtime on the server nodes is reduced to the level of 3%. Achieved results are used to define the set of recommendations that could be extended for the other software layers, followed by a discussion about further potential problems and strategy variations. |
| first_indexed | 2024-03-09T03:29:11Z |
| format | Article |
| id | doaj.art-1c6bcf3aeb394804a875ca671956bea1 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T03:29:11Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-1c6bcf3aeb394804a875ca671956bea12023-12-03T14:57:12ZengMDPI AGElectronics2079-92922022-07-011114218610.3390/electronics11142186Hybrid Software Deployment Strategy for Complex Industrial SystemsPetar Rajković0Dejan Aleksić1Andjelija Djordjević2Dragan Janković3Faculty of Electronic Engineering, University of Niš, 18115 Niš, SerbiaDepartment of Physics, Faculty of Sciences and Mathematics, University of Niš, 18000 Niš, SerbiaFaculty of Electronic Engineering, University of Niš, 18115 Niš, SerbiaFaculty of Electronic Engineering, University of Niš, 18115 Niš, SerbiaComplex industrial systems run the different pieces of software in several interconnected physical layers. The software update in such an environment must be performed in the shortest possible period with the lowest possible resource usage. Namely, it is critical to minimize the data traffic, decrease software downtime, and reduce the impact of the transitional stage during the update process. To meet these requirements and to unify the update process, the common software node structure along with a hybrid software deployment strategy is proposed. The hybrid strategy is defined as a combination of the existing and well-tested techniques—blue/green, canary, and feature flags. The main aim was to utilize their positive sides and to obtain a better overall effect. The approach was tested in the simulation environment, based on the realistic factory layout, and running the software related to the enterprise resource planning (ERP) level. For successful updates, the proposed hybrid deployment method reduced downtime on server nodes to less than 5% and on client nodes to a half compared with the standard approach. The volume of data traffic reduction in a configuration with sentinel nodes is reduced by one-third. The presented results look promising, especially in cases of erroneous updates when a roll back is needed, where the downtime on the server nodes is reduced to the level of 3%. Achieved results are used to define the set of recommendations that could be extended for the other software layers, followed by a discussion about further potential problems and strategy variations.https://www.mdpi.com/2079-9292/11/14/2186hybrid software deployment methodsoftware life cyclesoftware in the industrial environment |
| spellingShingle | Petar Rajković Dejan Aleksić Andjelija Djordjević Dragan Janković Hybrid Software Deployment Strategy for Complex Industrial Systems Electronics hybrid software deployment method software life cycle software in the industrial environment |
| title | Hybrid Software Deployment Strategy for Complex Industrial Systems |
| title_full | Hybrid Software Deployment Strategy for Complex Industrial Systems |
| title_fullStr | Hybrid Software Deployment Strategy for Complex Industrial Systems |
| title_full_unstemmed | Hybrid Software Deployment Strategy for Complex Industrial Systems |
| title_short | Hybrid Software Deployment Strategy for Complex Industrial Systems |
| title_sort | hybrid software deployment strategy for complex industrial systems |
| topic | hybrid software deployment method software life cycle software in the industrial environment |
| url | https://www.mdpi.com/2079-9292/11/14/2186 |
| work_keys_str_mv | AT petarrajkovic hybridsoftwaredeploymentstrategyforcomplexindustrialsystems AT dejanaleksic hybridsoftwaredeploymentstrategyforcomplexindustrialsystems AT andjelijadjordjevic hybridsoftwaredeploymentstrategyforcomplexindustrialsystems AT draganjankovic hybridsoftwaredeploymentstrategyforcomplexindustrialsystems |