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

Université Paris-Saclay
Sfax University
Sfax University
University of New South Wales

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

13 Citations (Scopus)

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.",

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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

TY - GEN

T1 - Model-driven orchestration for cloud resources

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AU - Mtibaa, Achraf

AU - Gaaloul, Walid

AU - Benatallah, Boualem

AU - Gargouri, Faiez

PY - 2019/7/1

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N2 - 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.

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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KW - Transformation

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M3 - Conference contribution

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A2 - Chen, Peter

A2 - Damiani, Ernesto

A2 - Goul, Michael

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PB - IEEE Computer Society

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ER -

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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