Managing multi-cloud systems with CloudMF

Ferry, Nicolas; Chauvel, Franck; Rossini, Alessandro; Morin, Brice; Solberg, Arnor

doi:10.1145/2513534.2513542

Cited by 47 publications

(36 citation statements)

References 15 publications

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“…N. Ferry et.al. (Ferry et al, 2013) propose a model-based framework called CLOUDMF to manage multiple clouds. It uses a tool-support domain-specific modelling language to model the provisioning and deployment of Multi-cloud systems, and uses a models@run-time environment for enacting the provisioning, deployment and adaptation of these systems.…”

Section: Related Workmentioning

confidence: 99%

Towards a Model-Defined Cloud-of-Clouds

2016

STCC

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With the growth in the number of Cloud Service Providers, many enterprises and organizations are now able to use multiple cloud platforms in order to achieve improved overall Quality-of-Service (QoS), reliability and cost efficiency. However, due to the diversity in architecture and functionalities among different cloud platforms, it is difficult to build a system that simultaneously manages multiple clouds, i.e., a cloud-of-clouds. This paper presents a model-defined approach to the development of a cloud-of-clouds management (abbreviated as CCMan) system. The runtime model of a CCMan system that meets custom management requirements is constructed through model construction, model merging and model transformation. Each step of the approach is presented in detail in terms of an example. Evaluation of the approach from several perspectives shows that the efforts needed to both develop the CCMan system and operate its services are significantly reduced with negligible performance loss.

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Section: Related Workmentioning

confidence: 99%

Towards a Model-Defined Cloud-of-Clouds

2016

STCC

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“…Other domain specific languages for the deployment of applications in the clouds have been proposed, e.g., the component based application model of [7], CloudML [13], and CloudMF [9]. All these approaches mainly aim at modeling the entities involved in the cloud and effective and efficient deployment engines are still to be developed for them.…”

Section: Related Workmentioning

confidence: 99%

“…The most popular approach in this specific context, is the one promoted by the DevOps community that aims at the automation of deployment starting from application-dependent deployment information. Modeling languages for deployment have been already proposed [9,13,19]. In this paper we take a complementary approach: we intend to investigate the integration of deployment within an existing modeling language, thus allowing for the reasoning about deployment at the application modeling level in a declarative way.…”

Section: Introductionmentioning

confidence: 99%

On the Integration of Automatic Deployment into the ABS Modeling Language

Gouw

Lienhardt

Mauro

et al. 2015

Service Oriented and Cloud Computing

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Abstract. In modern software systems, deployment is an integral and critical part of application development (see, e.g., the DevOps approach to software development). Nevertheless, deployment is usually overlooked at the modeling level, thus losing the possibility to perform deployment conscious decisions during the early stages of development. In this paper, we address the problem of promoting deployment as an integral part of modeling, by focusing on the Abstract Behavioral Specification (ABS) language used for the specification of models of systems composed of concurrent objects consuming resources provided by deployment components. We extend ABS with class annotations expressing the resource requirements of the objects of that class. Then we define a tool that, starting from a high-level declaration of the desired system, computes a model instance of such system that optimally distributes objects over available deployment components.

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“…CloudML (CloudML project, 2013) ) developed a domain-specific language to support the specification of provisioning, deployment and adaptation concerns related to multi-cloud systems at design-time and their enactment at runtime. CloudML's background is PIM4Cloud language, defined in REMICS project (REMICS Consortium, 2012) (Ferry, Chauve, Rossini, Morin, & Solberg, 2013 .…”

Section: Security Driven Dynamic Deployment Of Multi-cloud Applicationsmentioning

confidence: 99%

Towards Self-Protective Multi-Cloud Applications - MUSA – a Holistic Framework to Support the Security-Intelligent Lifecycle Management of Multi-Cloud Applications

Rios¹,

Iturbe²,

Orue-Echevarria³

et al. 2015

Proceedings of the 5th International Conference on Cloud Computing and Services Science

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Abstract:The most challenging applications in heterogeneous cloud ecosystems are those that are able to maximise the benefits of the combination of the cloud resources in use: multi-cloud applications. They have to deal with the security of the individual components as well as with the overall application security including the communications and the data flow between the components. In this paper we present a novel approach currently in progress, the MUSA framework. The MUSA framework aims to support the security-intelligent lifecycle management of distributed applications over heterogeneous cloud resources. The framework includes security-by-design mechanisms to allow application self-protection at runtime, as well as methods and tools for the integrated security assurance in both the engineering and operation of multi-cloud applications. The MUSA framework leverages security-by-design, agile and DevOps approaches to enable the security-aware development and operation of multi-cloud applications.

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Managing multi-cloud systems with CloudMF

Cited by 47 publications

References 15 publications

Towards a Model-Defined Cloud-of-Clouds

Towards a Model-Defined Cloud-of-Clouds

On the Integration of Automatic Deployment into the ABS Modeling Language

Towards Self-Protective Multi-Cloud Applications - MUSA – a Holistic Framework to Support the Security-Intelligent Lifecycle Management of Multi-Cloud Applications

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