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Deployment and Operation of Complex Software in Heterogeneous Execution Environments The SODALITE Approach / edited by Elisabetta Di Nitto, Jesús Gorroñogoitia Cruz, Indika Kumara, Dragan Radolović, Kamil Tokmakov, Zoe Vasileiou

Contributor(s): Di Nitto, Elisabetta, editor literario | Gorroñogoitia Cruz, Jesús, editor literario | Kumara, Indika, editor literario | Radolović, Dragan, editor literario | Tokmakov, Kamil, editor literario | Vasileiou, Zoe, editor literario
Series: (PoliMI SpringerBriefs, 2282-2585).Publisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (VII, 148 páginas) : 107 ilustraciones, 98 ilustraciones a color.ISBN: 9783031049613.Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Summary: 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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Acceso electrónico eBook.25123001
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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.

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