Modeling and Automated Deployment of Serverless Applications Using TOSCA

Wurster, Michael; Breitenbücher, Uwe; Képes, Kálmán; Leymann, Frank; Yussupov, Vladimir

doi:10.1109/soca.2018.00017

Cited by 19 publications

(21 citation statements)

References 11 publications

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“…OpenTOSCA, 8 Cloudify 9 and Apache ARIA TOSCA 10 are examples of orchestrators that consume variants of OASIS TOSCA, 11 while Apache Brooklyn 12 and Juju 13 are based on other languages. At the top level are servers like Hudson 14 and Jenkins, 15 which are open-source, and commercial ones like TeamCity, 16 Bamboo, 17 Travis CI 18 and CircleCI. 19 These offerings have in common that users can set up CI/CD jobs to execute a given script upon certain events.…”

Section: Continuous Integration and Continuous Deliverymentioning

confidence: 99%

“…At present, no native support is provided by the TOSCA language for serverless FaaS or data flows, which however are both critical to RADON's significance due to the fact that serverless functions are often used to handle events triggered by data, e.g., real-time streams and diagnostic logs. Preliminary work has been done on the extension to TOSCA for the modeling and automated deployment of FaaS-based applications [18]. This is considered as a basis for our further research in RADON.…”

Section: Modeling Environmentmentioning

confidence: 99%

“…https://www.jetbrains.com/teamcity 17. https://www.atlassian.com/software/bamboo 18. https://travis-ci.org.19 https://circleci.com.…”

mentioning

confidence: 99%

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RADON: rational decomposition and orchestration for serverless computing

Casale

Artač

Heuvel

et al. 2019

SICS Softw.-Inensiv. Cyber-Phys. Syst.

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Emerging serverless computing technologies, such as function as a service (FaaS), enable developers to virtualize the internal logic of an application, simplifying the management of cloud-native services and allowing cost savings through billing and scaling at the level of individual functions. Serverless computing is therefore rapidly shifting the attention of software vendors to the challenge of developing cloud applications deployable on FaaS platforms. In this vision paper, we present the research agenda of the RADON project (http://radon-h2020.eu), which aims to develop a model-driven DevOps framework for creating and managing applications based on serverless computing. RADON applications will consist of fine-grained and independent microservices that can efficiently and optimally exploit FaaS and container technologies. Our methodology strives to tackle complexity in designing such applications, including the solution of optimal decomposition, the reuse of serverless functions as well as the abstraction and actuation of event processing chains, while avoiding cloud vendor lock-in through models.

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Section: Continuous Integration and Continuous Deliverymentioning

confidence: 99%

Section: Modeling Environmentmentioning

confidence: 99%

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RADON: rational decomposition and orchestration for serverless computing

Casale

Artač

Heuvel

et al. 2019

SICS Softw.-Inensiv. Cyber-Phys. Syst.

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“…Furthermore, integrating the latest technological development into monolithic systems is a tough and expensive process. Generally, monolithic applications are designed to be tightly coupled -the entire application will be unable to run or compile if one component is missing or fails [128]. It is also difficult to scale the application when multiple components have limited resources.…”

Section: Migration Of Monolithic Applications To Serverless Computing (Rq9)mentioning

confidence: 99%

“…However, not all applications are suitable for migration to serverless computing [76,128]; therefore, the first important aspect to be considered before rebuilding the applications is whether it would save money [188]. For such cases, newly desired features could be implemented and added via serverless computing as an extension to the current systems [128].…”

Section: Migration Of Monolithic Applications To Serverless Computing (Rq9)mentioning

confidence: 99%

Survey on serverless computing

2021

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Serverless computing has gained importance over the last decade as an exciting new field, owing to its large influence in reducing costs, decreasing latency, improving scalability, and eliminating server-side management, to name a few. However, to date there is a lack of in-depth survey that would help developers and researchers better understand the significance of serverless computing in different contexts. Thus, it is essential to present research evidence that has been published in this area. In this systematic survey, 275 research papers that examined serverless computing from well-known literature databases were extensively reviewed to extract useful data. Then, the obtained data were analyzed to answer several research questions regarding state-of-the-art contributions of serverless computing, its concepts, its platforms, its usage, etc. We moreover discuss the challenges that serverless computing faces nowadays and how future research could enable its implementation and usage.

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Standards‐based modeling and deployment of serverless function orchestrations using BPMN and TOSCA

et al. 2022

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Function-as-a-Service (FaaS) is a cloud service model enabling to implement serverless applications for a variety of use cases. These range from scheduled calls of single functions to complex function orchestrations executed using orchestration services such as AWS step functions. However, since the available function orchestration technologies vary in functionalities, supported modeling languages, and APIs, modeling such function orchestrations and their deployment require significant technology-specific expertise. Moreover, the resulting models are typically not portable due to provider-and technology-specific details, and major efforts are required when exchanging an orchestrator or provider due to such lock-ins. To tackle this issue, we introduce a vendorand technology-agnostic method for the modeling and deployment of serverless function orchestrations, which relies on the business process model and notation (BPMN) and topology and orchestration specification for cloud applications (TOSCA) standards for modeling function orchestrations and their deployment, respectively. We also present a toolchain for modeling serverless function orchestrations in BPMN, generating proprietary models supported by different function orchestration technologies from BPMN models, specifying their actual deployment in TOSCA, and then enacting such deployment. Finally, we illustrate a case study applying our method and toolchain in practice.

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Modeling and Automated Deployment of Serverless Applications Using TOSCA

Cited by 19 publications

References 11 publications

RADON: rational decomposition and orchestration for serverless computing

RADON: rational decomposition and orchestration for serverless computing

Survey on serverless computing

Standards‐based modeling and deployment of serverless function orchestrations using BPMN and TOSCA

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