Model-Driven Orchestration for Cloud Resources

被引:6
作者
Brabra, Hayet [1 ,2 ]
Mtibaa, Achraf [3 ]
Gaaloul, Walid [1 ]
Benatallah, Boualem [4 ]
Gargouri, Faiez [5 ]
机构
[1] Univ Paris Saclay, CNRS UMR SAMOVAR, Telecom SudParis, St Aubin, France
[2] Univ Sfax, Miracl Lab, FSEG, Sfax, Tunisia
[3] Univ Sfax, Miracl Lab, ENETCOM, Sfax, Tunisia
[4] UNSW, Sydney, NSW, Australia
[5] Univ Sfax, Miracl Lab, ISIMS, Sfax, Tunisia
来源
2019 IEEE 12TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (IEEE CLOUD 2019) | 2019年
关键词
Artifact; TOSCA; Orchestration; Transformation; MDE;
D O I
10.1109/CLOUD.2019.00074
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:422 / 429
页数:8
相关论文
共 19 条
[1]  
[Anonymous], 2017, TOSCA SIMPLE PROFILE
[2]  
[Anonymous], 2018, TERR DOC ONL ART
[3]  
[Anonymous], 2018, ANS IN DEPTH ONL ART
[4]  
[Anonymous], 2018, DOCK DOC ONL ART
[5]  
[Anonymous], 2018, JUJU DOCUMENTATION O
[6]  
[Anonymous], 2016, FUTURE GENERATION CO
[7]  
Bergmayr A., 2016, CLOSER
[8]   Model-Driven Elasticity for Cloud Resources [J].
Brabra, Hayet ;
Mtibaa, Achraf ;
Gaaloul, Walid ;
Benatallah, Boualem .
ADVANCED INFORMATION SYSTEMS ENGINEERING, CAISE 2018, 2018, 10816 :187-202
[9]  
Brogi A., 2017, ADV SERV OR CLOUD CO, P130
[10]  
Dullmann T. F., 2017, ICPE