Towards IT Workload Hybrid-Cloud Placement Advisory in Enterprise

André Hardt, Abdulrahman Nahhas, Hendrik Müller, Klaus Turowski

2025

Abstract

Placement of IT workloads in a cloud or hybrid-cloud environment is not always straightforward and requires taking into account various requirements, cloud offering capabilities, and costs. This fact has led researchers and industry practitioners to develop various automation solutions to support this decision process. However, the exact procedure for applying these solutions in practice, especially in the enterprise environment, is typically not discussed. In this work, we propose a formalized systematic business-centric process for delivering a service that relies on a data-driven automation solution, as a tool for experts, for relevant data management and placement optimization in a hybrid-cloud. We performed preliminary field testing of the proposed approach on real-world enterprise IT landscapes running SAP enterprise applications with the application of a user-friendly placement optimization automation solution. Finally, the stakeholder feedback and key takeaways from the field testing are summarized, noting the feasibility and potential usefulness of the presented formalized process.

Paper Citation

in Harvard Style

Hardt A., Nahhas A., Müller H. and Turowski K. (2025). Towards IT Workload Hybrid-Cloud Placement Advisory in Enterprise. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 830-839. DOI: 10.5220/0013361800003929

in Bibtex Style

@conference{iceis25,
author={André Hardt and Abdulrahman Nahhas and Hendrik Müller and Klaus Turowski},
title={Towards IT Workload Hybrid-Cloud Placement Advisory in Enterprise},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={830-839},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013361800003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Towards IT Workload Hybrid-Cloud Placement Advisory in Enterprise
SN - 978-989-758-749-8
AU - Hardt A.
AU - Nahhas A.
AU - Müller H.
AU - Turowski K.
PY - 2025
SP - 830
EP - 839
DO - 10.5220/0013361800003929
PB - SciTePress