Deployment and Operation of Complex Software in Heterogeneous Execution Environments The SODALITE Approach /
Deployment and Operation of Complex Software in Heterogeneous Execution Environments The SODALITE Approach / [electronic resource] :
edited by Elisabetta Di Nitto, Jesús Gorroñogoitia Cruz, Indika Kumara, Dragan Radolović, Kamil Tokmakov, Zoe Vasileiou.
- 1st ed. 2022.
- VII, 148 p. 107 illus., 98 illus. in color. online resource.
- PoliMI SpringerBriefs, 2282-2585 .
- PoliMI SpringerBriefs, .
Orchestrating Heterogeneous Applications: Motivation and State of the Art -- The SODALITE Approach: an Overview -- The SODALITE Model-driven Approach -- Quality Assurance and Design-time Optimization -- The SODALITE Runtime Environment -- SODALITE in Context -- SODALITE Use Cases -- Toward Impact Generation and Future Research.
Open Access
This open access book provides an overview of the work developed within the SODALITE project, which aims at facilitating the deployment and operation of distributed software on top of heterogeneous infrastructures, including cloud, HPC and edge resources. The experts participating in the project describe how SODALITE works and how it can be exploited by end users. While multiple languages and tools are available in the literature to support DevOps teams in the automation of deployment and operation steps, still these activities require specific know-how and skills that cannot be found in average teams. The SODALITE framework tackles this problem by offering modelling and smart editing features to allow those we call Application Ops Experts to work without knowing low level details about the adopted, potentially heterogeneous, infrastructures. The framework offers also mechanisms to verify the quality of the defined models, generate the corresponding executable infrastructural code, automatically wrap application components within proper execution containers, orchestrate all activities concerned with deployment and operation of all system components, and support on-the-fly self-adaptation and refactoring.
9783031049613
10.1007/978-3-031-04961-3 doi
Software engineering.
Cloud Computing.
Engineering--Data processing.
Programming languages (Electronic computers).
Operating systems (Computers).
Software Engineering.
Cloud Computing.
Data Engineering.
Programming Language.
Operating Systems.
QA76.758
005.1
Orchestrating Heterogeneous Applications: Motivation and State of the Art -- The SODALITE Approach: an Overview -- The SODALITE Model-driven Approach -- Quality Assurance and Design-time Optimization -- The SODALITE Runtime Environment -- SODALITE in Context -- SODALITE Use Cases -- Toward Impact Generation and Future Research.
Open Access
This open access book provides an overview of the work developed within the SODALITE project, which aims at facilitating the deployment and operation of distributed software on top of heterogeneous infrastructures, including cloud, HPC and edge resources. The experts participating in the project describe how SODALITE works and how it can be exploited by end users. While multiple languages and tools are available in the literature to support DevOps teams in the automation of deployment and operation steps, still these activities require specific know-how and skills that cannot be found in average teams. The SODALITE framework tackles this problem by offering modelling and smart editing features to allow those we call Application Ops Experts to work without knowing low level details about the adopted, potentially heterogeneous, infrastructures. The framework offers also mechanisms to verify the quality of the defined models, generate the corresponding executable infrastructural code, automatically wrap application components within proper execution containers, orchestrate all activities concerned with deployment and operation of all system components, and support on-the-fly self-adaptation and refactoring.
9783031049613
10.1007/978-3-031-04961-3 doi
Software engineering.
Cloud Computing.
Engineering--Data processing.
Programming languages (Electronic computers).
Operating systems (Computers).
Software Engineering.
Cloud Computing.
Data Engineering.
Programming Language.
Operating Systems.
QA76.758
005.1