A Systematic Review of Cloud Modeling Languages

Bergmayr, Alexander; Breitenbücher, Uwe; Ferry, Nicolas; Rossini, Alessandro; Solberg, Arnor; Wimmer, Manuel; Kappel, Gerti; Leymann, Frank

doi:10.1145/3150227

Cited by 98 publications

(76 citation statements)

References 94 publications

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“…Such meta-controllers may rely on software models created by the application designers. Proposals in this direction include model-driven engines to facilitate reasoning, what-if analysis, monitoring feedback analysis, and for the correct enactment of adaptation decisions [23,170].…”

Section: Application Development and Deliverymentioning

confidence: 99%

A Manifesto for Future Generation Cloud Computing

et al. 2018

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The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured significant attention of academia, industries, and government bodies. Now, it has emerged as the backbone of modern economy by offering subscription-based services anytime, anywhere following a pay-as-you-go model. This has instigated (1) shorter establishment times for start-ups, (2) creation of scalable global enterprise applications, (3) better cost-to-value associativity for scientific and high performance computing applications, and (4) different invocation/execution models for pervasive and ubiquitous applications. The recent technological developments and paradigms such as serverless computing, software-defined networking, Internet of Things, and processing at network edge are creating new opportunities for Cloud computing. However, they are also posing several new challenges and creating the need for new approaches and research strategies, as well as the re-evaluation of the models that were developed to * Corresponding

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Section: Application Development and Deliverymentioning

confidence: 99%

A Manifesto for Future Generation Cloud Computing

et al. 2018

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“…CMLs have long been proposed to raise the level of abstraction and increase the degree of automation in the development of cloud applications [10]. However, not all of them support SLO specification in the process of modelling cloud applications.…”

Section: Slos In Cloud Modelling Languagesmentioning

confidence: 99%

“…XML is verbose, with an angle-bracketed syntax that is complex and not easily human comprehensible. This complicates development and hinders the maintainability of cloud applications [8,10]. • Design perspective: TOSCA and Blueprint do not provide concepts for modelling SLOs.…”

Section: Lack Of Slos Support In Current Cmlsmentioning

confidence: 99%

Envisioning SLO-driven Service Selection in Multi-cloud Applications

Elhabbash

Elkhatib

Blair

et al. 2019

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion

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The current large selection of cloud instances that are functionally equivalent makes selecting the right cloud service a challenging decision. We envision a model driven engineering (MDE) approach to raise the level of abstraction for cloud service selection. One way to achieve this is through a domain specific language (DSL) for modelling the service level objectives (SLOs) and a brokerage system that utilises the SLO model to select services. However, this demands an understanding of the provider SLAs and the capabilities of the current cloud modelling languages (CMLs). This paper investigates the stateof-the-art for SLO support in both cloud providers SLAs and CMLs in order to identify the gaps for SLO support. We then outline research directions towards achieving the MDE-based cloud brokerage. CCS CONCEPTS• Computer systems organization → Cloud computing; • Software and its engineering → Domain specific languages.

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“…A CML uses modelling concepts to raise the level of abstraction, enabling customers to describe their specific application needs that could then be systematically matched against cloud service offerings. As such, CMLs have been used to design different aspects of cloud application engineering [23]. Many CMLs (e.g.…”

Section: Related Workmentioning

confidence: 99%

SLO-ML: A Language for Service Level Objective Modelling in Multi-cloud Applications

Elhabbash

Jumagaliyev²,

Blair

et al. 2019

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing

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Cloud modelling languages (CMLs) are designed to assist customers in tackling the diversity of services in the cloud market. While many CMLs have been proposed in the literature, they lack practical support for automating the selection of services based on the specific service level objectives of a customer's application. We put forward SLO-ML, a novel and generative CML to capture service level requirements and, subsequently, to select the services to honour customer requirements and generate the deployment code appropriate to these services. We present the architectural design of SLO-ML and the associated broker that realises the deployment operations. We rigorously evaluate SLO-ML using a mixed methods approach. First, we exploit an experimental case study with a group of researchers and developers using a real-world cloud application. We also assess overheads through an exhaustive set of empirical scalability tests. Through expressing the levels of gained productivity and experienced usability, we highlight SLO-ML's profound potential in enabling user-centric cloud brokers. We also discuss limitations as application requirements grow.

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A Systematic Review of Cloud Modeling Languages

Cited by 98 publications

References 94 publications

A Manifesto for Future Generation Cloud Computing

A Manifesto for Future Generation Cloud Computing

Envisioning SLO-driven Service Selection in Multi-cloud Applications

SLO-ML: A Language for Service Level Objective Modelling in Multi-cloud Applications

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