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Communication Dans Un Congrès Année : 2017

Genetic-based configurable cloud resource allocation in QoS-aware business process development

Résumé

Organizations are nowadays more and more adopting Cloud computing to execute their multi-tenant business processes in order to quickly adapt to changes of requirements at lower costs. In such environment, using configurable process models allows for various tenants to share a reference process which can be customized depending on their needs. However, there is a lack of support for cloud-specific resource configuration with considering quality of service requirements. In this paper, we cope with this gap by proposing a genetic-based approach that enables to optimally extract cloud resource configuration allocation w.r.t Cloud resource features (i.e., elasticity and shareability), and process non functional properties (i.e. QoS properties)
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Dates et versions

hal-01696951 , version 1 (30-01-2018)

Identifiants

Citer

Emna Hachicha, Karn Yongsiriwit, Mohamed Sellami, Walid Gaaloul. Genetic-based configurable cloud resource allocation in QoS-aware business process development. ICWS 2017 : 24th International Conference on Web Services, Jun 2017, Honolulu, United States. pp.836 - 839, ⟨10.1109/ICWS.2017.101⟩. ⟨hal-01696951⟩
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