DOML: A New Modelling Approach to Infrastructure-as-Code

被引：2

作者：

Chiari, Michele ^{[1
]}

Xiang, Bin ^{[2
]}

Nedeltcheva, Galia Novakova ^{[2
]}

Di Nitto, Elisabetta ^{[2
]}

Blasi, Lorenzo ^{[3
]}

Benedetto, Debora ^{[3
]}

Niculut, Laurentiu ^{[3
]}

机构：

[1] TU Wien, Treitlestr 3, Vienna, Austria

[2] Politecn Milan, Piazza Leonardo Da Vinci 32, Milan, Italy

[3] Hewlett Packard Italiana Srl, Via Giuseppe Vittorio, Cernusco Sul Naviglio, Italy

来源：

ADVANCED INFORMATION SYSTEMS ENGINEERING, CAISE 2023 | 2023年 / 13901卷

关键词：

Infrastructure-as-Code; DevOps; IaC Modelling languages; Multi-layer approach; Evaluation;

D O I：

10.1007/978-3-031-34560-9_18

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the main DevOps practices is the automation of resource provisioning and deployment of complex software. This automation is enabled by the explicit definition of Infrastructure-as-Code (IaC), i.e., a set of scripts, often written in different modelling languages, which defines the infrastructure and applications to be deployed. We introduce the DevOps Modelling Language (DOML), a new Cloud modelling language for infrastructure deployments. DOML is a modelling approach that can be mapped into multiple IaC languages, addressing infrastructure provisioning, application deployment and configuration at once. The idea behind DOML is to use a single modelling paradigm which can help to reduce the need of deep technical expertise in using different specialised IaC languages. We present the DOML's principles and discuss the related work on IaC languages. We demonstrate the DOML advantages for the end-user in comparison with state-of-the-art IaC languages such as Ansible, Terraform, and Cloudify, and show its effectiveness through an example.

引用

页码：297 / 313

页数：17

共 31 条

[1]

Aho Alfred V., 1986, Compilers: principles, techniques, tools

[2]

Amazon Web Services Inc, 2022, AWS EC2

[3]

[Anonymous], 2022, The pallets project: Jinja

[4] Infrastructure-as-Code for Data-Intensive Architectures: A Model-Driven Development Approach [J].

Artac, Matej ;

Borovsak, Tadej ;

Di Nitto, Elisabetta ;

Guerriero, Michele ;

Perez-Palacin, Diego ;

Tamburri, Damian Andrew .

2018 IEEE 15TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE (ICSA), 2018, :156-165

[5] A Systematic Review of Cloud Modeling Languages [J].

Bergmayr, Alexander ;

Breitenbuecher, Uwe ;

Ferry, Nicolas ;

Rossini, Alessandro ;

Solberg, Arnor ;

Wimmer, Manuel ;

Kappel, Gerti ;

Leymann, Frank .

ACM COMPUTING SURVEYS, 2018, 51 (01)

[6]

Chared Z., 2013, CAISE FORUM, P81, DOI [10.1109/ACIT-CSII-BCD.2016.023, DOI 10.1109/ACIT-CSII-BCD.2016.023]

[7]

Chef, 2022, Chef infra: powerful policy-based configuration management system software

[8]

CNCF, 2022, Kubernetes

[9]

Colantoni A., 2020, P MODELS 2020

[10] Performance Comparison of Terraform and Cloudify as Multicloud Orchestrators [J].

de Carvalho, Leonardo Reboucas ;

Favacho de Araujo, Aleteia Patricia .

2020 20TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING (CCGRID 2020), 2020, :380-389

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