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Authors: Lukas Harzenetter 1 ; Tobias Binz 2 ; Uwe Breitenbücher 1 ; Frank Leymann 1 and Michael Wurster 1

Affiliations: 1 University of Stuttgart, Institute of Architecture of Application Systems, Universitätsstraße 38, 70569 Stuttgart, Germany ; 2 Robert Bosch GmbH, IoT & Digitalization Architecture, 70442 Stuttgart, Germany

Keyword(s): Application Management, Management Automation, Cloud Computing, Workflows, TOSCA.

Abstract: As automation is a key driver to achieve efficiency in the ever growing IT landscape, many different deployment automation technologies arose. These technologies to deploy and manage applications have been widely adopted in industry and research. In larger organizations, usually even multiple deployment technologies are used in parallel. However, as most of these technologies offer limited or no management capabilities, managing application systems deployed using different deployment technologies is cumbersome. Thus, holistic management functionalities affecting multiple components of an application, e. g., update or back up all components, is impossible. In this paper, we present an approach that enables the automated execution of holistic management functionalities for running applications. To achieve this, we first retrieve instance information of a running application and derive a standardized instance model of the application. Afterwards, the instance model is enriched with addi tional management functionality. We hereby extend the existing Management Feature Enrichment and Workflow Generation approach to support running applications. To execute the enriched management functionalities on the running application, standard-based workflows are generated. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Harzenetter, L.; Binz, T.; Breitenbücher, U.; Leymann, F. and Wurster, M. (2021). Automated Generation of Management Workflows for Running Applications by Deriving and Enriching Instance Models. In Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER, ISBN 978-989-758-510-4; ISSN 2184-5042, pages 99-110. DOI: 10.5220/0010477900990110

@conference{closer21,
author={Lukas Harzenetter. and Tobias Binz. and Uwe Breitenbücher. and Frank Leymann. and Michael Wurster.},
title={Automated Generation of Management Workflows for Running Applications by Deriving and Enriching Instance Models},
booktitle={Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER,},
year={2021},
pages={99-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010477900990110},
isbn={978-989-758-510-4},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Cloud Computing and Services Science - CLOSER,
TI - Automated Generation of Management Workflows for Running Applications by Deriving and Enriching Instance Models
SN - 978-989-758-510-4
IS - 2184-5042
AU - Harzenetter, L.
AU - Binz, T.
AU - Breitenbücher, U.
AU - Leymann, F.
AU - Wurster, M.
PY - 2021
SP - 99
EP - 110
DO - 10.5220/0010477900990110