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Authors: Karoline Saatkamp 1 ; Uwe Breitenbücher 1 ; Oliver Kopp 2 and Frank Leymann 1

Affiliations: 1 Institute of Architecture of Application Systems and University of Stuttgart, Germany ; 2 Institute for Parallel and Distributed Systems and University of Stuttgart, Germany

Keyword(s): Application Deployment, Distribution, Splitting, Cloud Computing, TOSCA.

Abstract: For automating the deployment of applications in cloud environments, a variety of deployment automation technologies have been developed in recent years. These technologies enable specifying the desired deployment in the form of deployment models, which can be automatically executed. However, changing internal or external conditions often lead to strategical decisions that must be reflected in all deployment models of a company’s IT. Unfortunately, while creating such deployment models is difficult, adapting them is even harder as typically a variety of technologies must be replaced. In this paper, we present the Split and Match Method that enables splitting a deployment model following a manually specified distribution on the business layer. The method also enables automatically deploying the resulting model without the need for a manual intervention and, thus, significantly eases reflecting strategical decisions on the technical deployment layer. We present a formalization and algo rithms to automate the steps of the method. Moreover, we validate the practical feasibility of the presented concepts by a prototype based on the TOSCA standard and the OpenTOSCA ecosystem. (More)

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Paper citation in several formats:
Saatkamp, K.; Breitenbücher, U.; Kopp, O. and Leymann, F. (2017). Topology Splitting and Matching for Multi-Cloud Deployments. In Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-243-1; ISSN 2184-5042, SciTePress, pages 275-286. DOI: 10.5220/0006371002750286

@conference{closer17,
author={Karoline Saatkamp. and Uwe Breitenbücher. and Oliver Kopp. and Frank Leymann.},
title={Topology Splitting and Matching for Multi-Cloud Deployments},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER},
year={2017},
pages={275-286},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006371002750286},
isbn={978-989-758-243-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER
TI - Topology Splitting and Matching for Multi-Cloud Deployments
SN - 978-989-758-243-1
IS - 2184-5042
AU - Saatkamp, K.
AU - Breitenbücher, U.
AU - Kopp, O.
AU - Leymann, F.
PY - 2017
SP - 275
EP - 286
DO - 10.5220/0006371002750286
PB - SciTePress