Cloud orchestration frameworks are recognised as a key driver to tackle the complexity of deploying and managing cloud resources and services. Although automated orchestration approaches have been widely adopted in industry and academia, most of them only provide limited management capabilities, such as monitoring or scaling individual components. Holistic management features concerning multiple application components are mostly not covered by existing solutions. Supporting such features typically involves a custom implementation of management logic, which can be error-prone, time-consuming and frequently outdated. In this work, we present an approach for the automated generation of holistic management workflows based on TOSCA application models, reusable node types and policy types. A prototype implementation and a case study are also discussed to prove the feasibility of the proposed idea.

Automated Generation of Application Management Workflows using TOSCA Policies

Calcaterra D.;Tomarchio O.
2022

Abstract

Cloud orchestration frameworks are recognised as a key driver to tackle the complexity of deploying and managing cloud resources and services. Although automated orchestration approaches have been widely adopted in industry and academia, most of them only provide limited management capabilities, such as monitoring or scaling individual components. Holistic management features concerning multiple application components are mostly not covered by existing solutions. Supporting such features typically involves a custom implementation of management logic, which can be error-prone, time-consuming and frequently outdated. In this work, we present an approach for the automated generation of holistic management workflows based on TOSCA application models, reusable node types and policy types. A prototype implementation and a case study are also discussed to prove the feasibility of the proposed idea.
978-989-758-570-8
Automated Management
BPMN
Cloud Application Management
Policies
TOSCA
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/542225
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