Abstract
Cloud computing is well suited for applications with a distributed architecture and dynamic demand of resources. Yet, current approaches to model cloud application deployment do not cater for the application’s dynamic nature and its rapidly changing business requirements. The static description of deployments results in a lack of reusability and also lacks an integrated way to adapt to the current context. To reuse and refine the deployment model, we introduce a simple decision layer on top of a cloud application description, which abstracts from the actual deployment language and allows assembling the deployment model from existing model fragments. Those fragments are chosen based on the input of the decision process. We define an architecture for the decision layer and sketch an implementation based on CAMEL, DMN, and ADOxx. The benefits of the decision layer are illustrated by two use cases. Our approach shifts the focus from a static to a dynamic and reusable modelling process, which also reduces the modeller’s effort.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baur, D., Seybold, D., Griesinger, F., Tsitsipas, A., Hauser, C.B., et al.: Cloud orchestration features: are tools fit for purpose? In: 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC), pp. 95–101. IEEE (2015)
Domaschka, J., Baur, D., Seybold, D., Griesinger, F.: Cloudiator: a cross-cloud, multi-tenant deployment and runtime engine. In: 9th SummerSoC (2015)
Object Management Group: Decision model and notation. Technical rep., OMG (2015). http://www.omg.org/spec/DMN/1.1/
OASIS: Topology and Orchestration Specification for Cloud Applications Version 1.0 Committee Specification Draft 08 (2013)
Rossini, A.: Cloud Application Modelling and Execution Language (CAMEL) and the PaaSage workflow. In: Celesti, A., Leitner, P. (eds.) ESOCC 2015 Workshops. CCIS, vol. 567, pp. 437–439. Springer, Heidelberg (2016)
Soldani, J., Binz, T., Breitenbcher, U., Leymann, F., Brogi, A.: ToscaMart: a method for adapting and reusing cloud applications. J. Syst. Softw. 113, 395–406 (2016)
Sun, L., Dong, H., Hussain, F.K., Hussain, O.K., Chang, E.: Cloud service selection: state-of-the-art and future research directions. J. Netw. Comput. Appl. 45, 134–150 (2014)
Woitsch, R., Utz, W.: Business process as a service: model based business and it cloud alignment as a cloud offering. In: 2015 International Conference on Enterprise Systems (ES), pp. 121–130. IEEE (2015)
Acknowledgements
The research leading to these results has received funding from the EC’s Framework Programme FP7/2007–2013 under grant agreement number 317715 (PaaSage) and the EC’s Framework Programme HORIZON 2020 (ICT-07-2014) under grant agreement number 644690 (CloudSocket).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Griesinger, F., Seybold, D., Domaschka, J., Kritikos, K., Woitsch, R. (2018). A DMN-Based Approach for Dynamic Deployment Modelling of Cloud Applications. In: Lazovik, A., Schulte, S. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2016. Communications in Computer and Information Science, vol 707. Springer, Cham. https://doi.org/10.1007/978-3-319-72125-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-72125-5_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-72124-8
Online ISBN: 978-3-319-72125-5
eBook Packages: Computer ScienceComputer Science (R0)