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Communication Dans Un Congrès Année : 2019

Model-driven orchestration for cloud resources

Résumé

Several DevOps tools have emerged to orchestrate cloud resources. However, inherent heterogeneity and complex implementation within these tools make it hard for DevOps users to design required resource-related artifacts. Currently, the defacto standard for cloud resource modeling and orchestration is TOSCA. Nonetheless, TOSCA is usually bound to TOSCA-compliant orchestration tools. Moreover, the actual integration between TOSCA and DevOps tools is still performed using costly coding and in ad-hoc manner. To resolve this, we believe that mapping and translation mechanisms between TOSCA and DevOps tools should be provided. In this paper, we propose a new model-driven approach for cloud resource orchestration. Our approach (i) adopts TOSCA to design resource-related artifacts regardless of a specific DevOps tool; (ii) enables a new model-driven translation technique that serves to translate the designed artifacts using TOSCA into DevOps specific artifacts and (iii) provides Connectors that intend to establish the bridge between DevOps-specific artifacts and the DevOps tools. Our approach provides a powerful enhancement to DevOps productivity and reusability by assisting toward a seamless integration between TOSCA and DevOps tools.

Domaines

Informatique
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Dates et versions

hal-02482813 , version 1 (18-02-2020)

Identifiants

Citer

Hayet Brabra, Achraf Mtibaa, Walid Gaaloul, Benatallah Boualem, Faiez Gargouri. Model-driven orchestration for cloud resources. CLOUD 2019: 12th IEEE International Conference on Cloud Computing, Jul 2019, Milan, Italy. pp.422-429, ⟨10.1109/CLOUD.2019.00074⟩. ⟨hal-02482813⟩
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