An economic model for cloud service composition based on user's preferences

Hassan, Hala; El-Desoky, Ali; Ibrahim, Abdelhameed

doi:10.1109/icenco.2017.8289787

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…The sophisticated mechanisms for service selection in the cloud, based on trust evaluation, depend on estimating the QoS of each service and matching these QoS parameters with user's preferences then recommend a service according to the matching degree [9], [10]. The evaluation of QoS parameters for specific cloud service to ensure the trustworthiness of a Cloud Service Provider (CSP) depends on objective and subjective trust assessment [11].…”

Section: Introductionmentioning

confidence: 99%

Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment

et al. 2020

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Trust management becomes an urgent requirement in the cloud environment and a trust relationship between service user and service provider is required. Trust is the estimation of the ability of cloud resources in completing a task based on some criteria such as availability, reliability, and resource processing power. In this paper, an enhanced QoS-based model for evaluating the trustworthiness of the cloud provider is introduced. The proposed model calculates the accumulative trust value which is updated dynamically at each transaction and reflects the current or latest transaction of the provider in the cloud. The trustworthiness of a cloud resource is evaluated based on its provider reputation history from user feedback ratings based on the covariance mathematical technique to evaluate the credibility of the user's feedback. The trustworthiness of a cloud resource is also evaluated by calculating the computing power of resources at run-time. Experimental results confirm the effect of user opinion and resources processing speed on trust value calculation, which in turn assesses the trustworthiness of the cloud provider. The simulation has been performed using the CloudSim with the platform Eclipse for developing the proposed model.

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Section: Introductionmentioning

confidence: 99%

Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment

et al. 2020

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Predictive digital twin driven trust model for cloud service providers with Fuzzy inferred trust score calculation

John,

2024

J Cloud Comp

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Cloud computing has become integral to modern computing infrastructure, offering scalability, flexibility, and cost-effectiveness. Trust is a critical aspect of cloud computing, influencing user decisions in selecting Cloud Service Providers (CSPs). This paper provides a comprehensive review of existing trust models in cloud computing, including agreement-based, SLA-based, certificate-based, feedback-based, domain-based, prediction-based, and reputation-based models. Building on this foundation, we propose a novel methodology for creating a trust model in cloud computing using digital twins for CSPs. The digital twin is augmented with a fuzzy inference system, which computes the trust score of a CSP based on trust-related parameters. The architecture of the digital twin with the fuzzy inference system is detailed, outlining how it processes security parameter values obtained through penetration testing mechanisms. These parameter values are transformed into crisp values using a linear ridge regression function and then fed into the fuzzy inference system to calculate a final trust score for the CSP. The paper also presents the outputs of the fuzzy inference system, demonstrating how different security parameter inputs yield various trust scores. This methodology provides a robust framework for assessing CSP trustworthiness and enhancing decision-making processes in cloud service selection.

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An economic model for cloud service composition based on user's preferences

Cited by 2 publications

References 15 publications

Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment

Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment

Predictive digital twin driven trust model for cloud service providers with Fuzzy inferred trust score calculation

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