A configurable resource allocation for multi-tenant process development in the cloud

Autor: Hachicha, E., Assy, N., Gaaloul, W., Mendling, J., Nurcan, S., Soffer, P., Bajec, M., Eder, J.
Přispěvatelé: Département Informatique (INF), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Eindhoven University of Technology [Eindhoven] (TU/e), Algorithmes, Composants, Modèles Et Services pour l'informatique répartie (ACMES-SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Institute for Information Business (Vienna University of Economics and Business Administration (Wirtschaftsuniversität Wien - WU)), Process Science
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Proceedings CAiSE 2016 : 28th International Conference on Advanced Information Systems Engineering
CAiSE 2016 : 28th International Conference on Advanced Information Systems Engineering
CAiSE 2016 : 28th International Conference on Advanced Information Systems Engineering, Jun 2017, Ljubljana, Slovenia. pp.558-574, ⟨10.1007/978-3-319-39696-5_34⟩
Advanced Information Systems Engineering ISBN: 9783319396958
CAiSE
Advanced Information Systems Engineering-28th International Conference, CAiSE 2016, Ljubljana, Slovenia, June 13-17, 2016, 558-574
STARTPAGE=558;ENDPAGE=574;TITLE=Advanced Information Systems Engineering-28th International Conference, CAiSE 2016, Ljubljana, Slovenia, June 13-17, 2016
DOI: 10.1007/978-3-319-39696-5_34⟩
Popis: International audience; Cloud computing has become an important infrastructure for outsourcing service-based business processes in a multi-tenancy way. Configurable process models enable the sharing of a reference process among different tenants that can be customized according to specific needs. While concepts for specifying the control flow of such processes are well understood, there is a lack of support for cloud-specific resource configuration where different allocation alternatives need to be explicitly defined. In this paper, we address this research gap by extending configurable process models with the required configurable cloud resource allocation. Our proposal allows different tenants to customize the selection of the needed resources taking into account two important properties elasticity and shareability. Our prototypical implementation demonstrates the feasibility and the results of our experiments highlight the effectiveness of our approach
Databáze: OpenAIRE