Towards a Formal Model for Cloud Computing

Benzadri, Zakaria; Belala, Faïza; Bouanaka, Chafia

doi:10.1007/978-3-319-06859-6_34

Cited by 15 publications

(13 citation statements)

References 13 publications

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“…A. Gambi et al [2] define a systematic modelbased test generation framework that enables testing the elastic properties of cloud systems. In [15] Z. Benzadri et al, a formal specification adopting Bigraphical Reactive Systems is proposed for cloud services and customers and their interaction schemes. K. Klai et al [16] propose a formal model adopting Petri nets for describing elasticity mechanisms and their strategies for service-based business processes in cloud environments.…”

Section: Model Execution Resultsmentioning

confidence: 99%

Towards a Formal Model for Cloud Computing Elasticity

Sahli

Bouanaka

Dib

2014

2014 IEEE 23rd International WETICE Conference

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Cloud computing is an emerging topic in the ITindustry; it brings new design challenges and security issues, as resources rapid availability and quick scalability. Since formal methods provide a reliable mathematical basis giving rise to safely analyzable models, we aim in this paper to propose a formal framework for cloud computing architectural elasticity. Bigraphical Reactive Systems are adopted as a semantic framework for their graphical aspect and rigorous basis. Then, Maude language is used to implement the obtained cloud bigraphical model. Maude system allows us to execute and analyze the formal specification of cloud computing architecture and its elasticity.

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Section: Model Execution Resultsmentioning

confidence: 99%

Towards a Formal Model for Cloud Computing Elasticity

Sahli

Bouanaka

Dib

2014

2014 IEEE 23rd International WETICE Conference

Self Cite

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“…Di Cosmo et al [24] adopted automata to define the Aeolus formal component model that captures cloud resources. Benzadri et al [25] proposed a formal model for cloud computing using Bigraphical Reactive Systems (BRS). Amazon Web Services (AWS) [26] used TLA+ specification language in their complex systems such as S3 and DynamoDB.…”

Section: Related Workmentioning

confidence: 99%

“…[24] studies the complexity of finding a deployment plan in the cloud. [25] also reasons over cloud concepts for deployment and adaptation purposes. [26] aims at finding subtle bugs in their internal distributed algorithms, which helps optimizing their systems.…”

Section: Related Workmentioning

confidence: 99%

Specifying Semantic Interoperability between Heterogeneous Cloud Resources with the FCLOUDS Formal Language

Challita

Zalila

Merle

2018

2018 IEEE 11th International Conference on Cloud Computing (CLOUD)

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With the advent of cloud computing, different cloud providers with heterogeneous services and Application Programming Interfaces (APIs) have emerged. Hence, building an interoperable multi-cloud system becomes a complex task. Our idea is to design FCLOUDS framework to achieve semantic interoperability in multi-clouds, i.e., to identify the common concepts between cloud APIs and to reason over them. In this paper, we propose to take advantage of the Open Cloud Computing Interface (OCCI) standard and the Alloy formal specification language to define the FCLOUDS language, which is a formal language for specifying heterogeneous cloud APIs. To do so, we formalize OCCI concepts and operational semantics, then we identify and validate five properties (consistency, sequentiality, reversibility, idempotence and safety) that denote their characteristics. To demonstrate the effectiveness of our cloud formal language, we present thirteen case studies where we formally specify infrastructure, platform, Internet of Things (IoT) and transverse cloud concerns. Thanks to the Alloy analyzer, we verify that these heterogeneous APIs uphold the properties of FCLOUDS and also validate their own specific properties. Then, thanks to formal transformation rules and equivalence properties, we draw a precise alignment between our case studies, which promotes semantic interoperability in a multi-cloud system.

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“…The authors verify the access control systems against organizational security requirements using techniques that are based on simple transition systems. As another example, Benzadri et al (2014) employed Bigraphical Reaction Systems to formally specify cloud services and customers as well as their interaction schemes. However, they did not consider security policies.…”

Section: Related Workmentioning

confidence: 99%

Formal verification of secure information flow in cloud computing

Zeng

Koutny

Watson

et al. 2016

Journal of Information Security and Applications

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Federated cloud systems increase the reliability and reduce the cost of computational support to an organization. However, the resulting combination of secure private clouds and less secure public clouds impacts on the overall security of the system as applications need to be located within different clouds. In this paper, the entities of a federated cloud system as well as the clouds are assigned security levels of a given security lattice. Then a dynamic flow sensitive security model for a federated cloud system is introduced within which the Bell-LaPadula rules and cloud security rule can be captured. The rest of the paper demonstrates how Petri nets and the associated verification techniques could be used to analyze the security of information flow in federated cloud systems.

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Towards a Formal Model for Cloud Computing

Cited by 15 publications

References 13 publications

Towards a Formal Model for Cloud Computing Elasticity

Towards a Formal Model for Cloud Computing Elasticity

Specifying Semantic Interoperability between Heterogeneous Cloud Resources with the FCLOUDS Formal Language

Formal verification of secure information flow in cloud computing

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