An Approach to Support Automated Deployment of Applications on Heterogeneous Cloud-HPC Infrastructures
| Autor: | Dragan Radolovic, Elisabetta Di Nitto, Karthee Sivalingam, Georgios Meditskos, Román Sosa González, Jesus Gorronogoitia, Indika Kumara |
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| Rok vydání: | 2020 |
| Předmět: |
020203 distributed computing
Operations architecture Computer science business.industry Distributed computing 020207 software engineering Context (language use) Cloud computing 02 engineering and technology Dynamic priority scheduling Microservices Software deployment 0202 electrical engineering electronic engineering information engineering DevOps business Edge computing |
| Zdroj: | 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) SYNASC |
| DOI: | 10.1109/synasc51798.2020.00031 |
| Popis: | Complex applications, which include microservices, computationally intensive batch jobs, and sophisticated interaction with the external environment, demand for heterogeneous computational infrastructures that range from cloud to HPC and edge computing. In this context, a crucial problem is to facilitate the work of DevOps teams in i. the conception of the right operational architecture for the application, ii. its transformation into infrastructural code that automates its deployment, taking into account the peculiarities of each of the diverse infrastructures involved in this, and iii. its operation. The SODALITE framework aims at addressing this scenario. This paper presents the main features offered by the first version of the framework, currently focusing on managing cloud and HPC clusters, and shows them in practice through a relevant case study. |
| Databáze: | OpenAIRE |
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