Model-Driven Approach to Cloud-Portability Issue

This paper focuses on the portability of Cloud Computing (CC) services, specifically on the problems with the portability of Infrastructure as a Service (IaaS). We analyze the current state of CC with the intention of standardizing the portability of CC solutions. CC IaaS providers often use proprietary solutions, which leads to a problem known as “vendor lock-in”. Another problem might appear during migration between two providers if huge scripts are written in a proprietary language. To solve the portability problem, we applied the Model-Driven Architecture (MDA) approach to propose the general IaaS reference architecture. Using a generic IaaS model, we are able to describe entities of the IaaS environment and then design necessary transformation rules for specific IaaS environments in a simplified but flexible way. Using this model, we continue designing transformation rules that define the transcript of IaaS services. The CC-portability problem is thus solved by transforming a specific IaaS service description from one description to another through the generic model. This approach is extensible and can be adopted for the evolution of CC services. Therefore, it can be used as a generic solution to IaaS-portability issues. Using this flexible approach, the introduction of a new CC environment requires only the design of a single transformation rule that prevents proprietary peer-to-peer full-mesh mappings. Thanks to the proposed model and the transformation rules described, we were able to experimentally confirm the functionality of the transfer of the environment description between three cloud providers.

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Publication Details

Journal
Applied Sciences
Published
2024-10-12
DOI
https://doi.org/10.3390/app14209298
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.78

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article

Model-Driven Approach to Cloud-Portability Issue

Pavel Segeč, Martin Kontšek, Marek Moravčík, Lubica Zidekova
1 citations
Applied Sciences
Cloud Computing and Resource Management
0.78
article

Model-Driven Approach to Cloud-Portability Issue

Pavel Segeč, Martin Kontšek, Marek Moravčík, Lubica Zidekova
article en
1 citations

Abstract

This paper focuses on the portability of Cloud Computing (CC) services, specifically on the problems with the portability of Infrastructure as a Service (IaaS). We analyze the current state of CC with the intention of standardizing the portability of CC solutions. CC IaaS providers often use proprietary solutions, which leads to a problem known as “vendor lock-in”. Another problem might appear during migration between two providers if huge scripts are written in a proprietary language. To solve the portability problem, we applied the Model-Driven Architecture (MDA) approach to propose the general IaaS reference architecture. Using a generic IaaS model, we are able to describe entities of the IaaS environment and then design necessary transformation rules for specific IaaS environments in a simplified but flexible way. Using this model, we continue designing transformation rules that define the transcript of IaaS services. The CC-portability problem is thus solved by transforming a specific IaaS service description from one description to another through the generic model. This approach is extensible and can be adopted for the evolution of CC services. Therefore, it can be used as a generic solution to IaaS-portability issues. Using this flexible approach, the introduction of a new CC environment requires only the design of a single transformation rule that prevents proprietary peer-to-peer full-mesh mappings. Thanks to the proposed model and the transformation rules described, we were able to experimentally confirm the functionality of the transfer of the environment description between three cloud providers.

Applied SciencesVol. 14(20)
University of Žilina (SK)
Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR
Openalex Percentile: Top 20%
Cloud Computing and Resource Management
0.78
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Model-Driven Approach to Cloud-Portability Issue — Pavel Segeč, Martin Kontšek, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS