Model-driven orchestration for cloud resources

Hayet Brabra; Achraf Mtibaa; Walid Gaaloul; Boualem Benatallah; Faiez Gargouri

doi:10.1109/CLOUD.2019.00074

Model-driven orchestration for cloud resources

Hayet Brabra, Achraf Mtibaa, Walid Gaaloul, Boualem Benatallah, Faiez Gargouri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services
Editors	Elisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, Katsunori Oyama
Publisher	IEEE Computer Society
Pages	422-429
Number of pages	8
ISBN (Electronic)	9781728127057
DOIs	https://doi.org/10.1109/CLOUD.2019.00074
Publication status	Published - 1 Jul 2019
Externally published	Yes
Event	12th IEEE International Conference on Cloud Computing, CLOUD 2019 - Milan, Italy Duration: 8 Jul 2019 → 13 Jul 2019

Publication series

Name	IEEE International Conference on Cloud Computing, CLOUD
Volume	2019-July
ISSN (Print)	2159-6182
ISSN (Electronic)	2159-6190

Conference

Conference	12th IEEE International Conference on Cloud Computing, CLOUD 2019
Country/Territory	Italy
City	Milan
Period	8/07/19 → 13/07/19

Keywords

Artifact
MDE
Orchestration
TOSCA
Transformation

Access to Document

10.1109/CLOUD.2019.00074

Cite this

Brabra, H., Mtibaa, A., Gaaloul, W., Benatallah, B., & Gargouri, F. (2019). Model-driven orchestration for cloud resources. In E. Bertino, C. K. Chang, P. Chen, E. Damiani, M. Goul, & K. Oyama (Eds.), Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services (pp. 422-429). Article 8814534 (IEEE International Conference on Cloud Computing, CLOUD; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.1109/CLOUD.2019.00074

Brabra, Hayet ; Mtibaa, Achraf ; Gaaloul, Walid et al. / Model-driven orchestration for cloud resources. Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services. editor / Elisa Bertino ; Carl K. Chang ; Peter Chen ; Ernesto Damiani ; Michael Goul ; Katsunori Oyama. IEEE Computer Society, 2019. pp. 422-429 (IEEE International Conference on Cloud Computing, CLOUD).

@inproceedings{622024f67c124edd94b9c159bc4abc72,

title = "Model-driven orchestration for cloud resources",

abstract = "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.",

keywords = "Artifact, MDE, Orchestration, TOSCA, Transformation",

author = "Hayet Brabra and Achraf Mtibaa and Walid Gaaloul and Boualem Benatallah and Faiez Gargouri",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 12th IEEE International Conference on Cloud Computing, CLOUD 2019 ; Conference date: 08-07-2019 Through 13-07-2019",

year = "2019",

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doi = "10.1109/CLOUD.2019.00074",

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Brabra, H, Mtibaa, A, Gaaloul, W, Benatallah, B & Gargouri, F 2019, Model-driven orchestration for cloud resources. in E Bertino, CK Chang, P Chen, E Damiani, M Goul & K Oyama (eds), Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services., 8814534, IEEE International Conference on Cloud Computing, CLOUD, vol. 2019-July, IEEE Computer Society, pp. 422-429, 12th IEEE International Conference on Cloud Computing, CLOUD 2019, Milan, Italy, 8/07/19. https://doi.org/10.1109/CLOUD.2019.00074

Model-driven orchestration for cloud resources. / Brabra, Hayet; Mtibaa, Achraf; Gaaloul, Walid et al.
Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services. ed. / Elisa Bertino; Carl K. Chang; Peter Chen; Ernesto Damiani; Michael Goul; Katsunori Oyama. IEEE Computer Society, 2019. p. 422-429 8814534 (IEEE International Conference on Cloud Computing, CLOUD; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Benatallah, Boualem

AU - Gargouri, Faiez

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AB - 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.

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Brabra H, Mtibaa A, Gaaloul W, Benatallah B, Gargouri F. Model-driven orchestration for cloud resources. In Bertino E, Chang CK, Chen P, Damiani E, Goul M, Oyama K, editors, Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services. IEEE Computer Society. 2019. p. 422-429. 8814534. (IEEE International Conference on Cloud Computing, CLOUD). doi: 10.1109/CLOUD.2019.00074

Model-driven orchestration for cloud resources

Abstract

Publication series

Conference

Keywords

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