loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Miles Stötzner ; Sandro Speth and Steffen Becker

Affiliation: Institute of Software Engineering, University of Stuttgart, Stuttgart, Germany

Keyword(s): Pruning, Modes, Deployment Models, Variability Management, TOSCA, EDMM, VDMM.

Abstract: The deployment of modern applications, which consist of multiple components distributed across multiple environments, typically requires a combination of multiple deployment technologies. Besides, applications are deployed in different variants due to different requirements, such as costs and elasticity. Managing deployment variability across multiple heterogeneous deployment technologies is complex and error-prone. Therefore, Variable Deployment Models provide a deployment variability modeling layer independent from the underlying deployment technologies. To ease modeling, elements are pruned, i.e., elements are automatically removed from the deployment due to consistency issues and semantic aspects. However, this might lead to unexpected removal of elements and might mask modeling errors. In this work, we investigate the implications of giving up control when pruning elements and analyze different degrees of pruning. Therefore, we introduce different Pruning Modes, that define whic h consistency issues and semantic aspects should be considered while pruning elements. We evaluate proposed pruning modes by implementing a prototype, conducting a case study, and experimenting using this prototype. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.192.94.177

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Stötzner, M.; Speth, S. and Becker, S. (2024). Pruning Modes for Deployment Models: From Manual Modeling to Automated Removal of Elements and Their Implications. In Proceedings of the 14th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-701-6; ISSN 2184-5042, SciTePress, pages 149-158. DOI: 10.5220/0012568300003711

@conference{closer24,
author={Miles Stötzner. and Sandro Speth. and Steffen Becker.},
title={Pruning Modes for Deployment Models: From Manual Modeling to Automated Removal of Elements and Their Implications},
booktitle={Proceedings of the 14th International Conference on Cloud Computing and Services Science - CLOSER},
year={2024},
pages={149-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012568300003711},
isbn={978-989-758-701-6},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Cloud Computing and Services Science - CLOSER
TI - Pruning Modes for Deployment Models: From Manual Modeling to Automated Removal of Elements and Their Implications
SN - 978-989-758-701-6
IS - 2184-5042
AU - Stötzner, M.
AU - Speth, S.
AU - Becker, S.
PY - 2024
SP - 149
EP - 158
DO - 10.5220/0012568300003711
PB - SciTePress