Paper Info
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.
Year
DOI
Venue
2019
10.1109/CLOUD.2019.00074
2019 IEEE 12th International Conference on Cloud Computing (CLOUD)
Keywords
Field
DocType
Artifact, TOSCA, Orchestration, Transformation, MDE
Cloud resources,De facto standard,Computer science,DevOps,Orchestration (computing),Reusability,Distributed computing,Cloud computing
Conference
ISSN
ISBN
Citations 
2159-6182
978-1-7281-2706-4
0
PageRank 
References 
Authors
0.34
11
5
Name
Order
Citations
PageRank
Hayet Brabra141.90
Achraf Mtibaa24011.23
Walid Gaaloul361377.38
Boualem Benatallah46174494.38
Faïez Gargouri524492.29