A two-dimensional time-aware cloud service recommendation approach with enhanced similarity and trust

Tang, Chunhua; Zhao, Shuangyao; Chen, Binbin; Lu, Xiaonong; Zhang, Qiang

doi:10.1016/j.jpdc.2024.104889

Journal of Parallel and Distributed Computing

2024

DOI: 10.1016/j.jpdc.2024.104889

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A two-dimensional time-aware cloud service recommendation approach with enhanced similarity and trust

Chunhua Tang,

Shuangyao Zhao,

Binbin Chen

et al.

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2024

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Cited by 2 publications

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Recommending cloud services based on social trust: An overview

Lebib,

Kichou

2024

Concurrency and Computation

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The continued expansion and development of the business requires great computing power and massive data storage systems. Cloud services deliver these resources in a simple, flexible and secure way. There is now a wide range of similar cloud services with different capabilities, which requires a recommendation system. Recommendation based on Quality of Service (QoS) is the first generation of service recommendation systems that only takes into account the rating information of all users without distinction. However, these systems suffer from many shortcomings, such as cold start and data sparsity issues, as well as poor accuracy and reliability of recommendation results. To address these issues and improve the quality of recommendations, a new generation of recommender systems has emerged, such as context‐aware, domain‐specific, and trust‐aware recommender systems. These systems now focus more on how to leverage social data generated from user interactions with each other in social networks to recommend more suitable and reliable services in response to user needs. Due to the importance of considering trust in cloud environments, this study aims to provide an overview of the research on trust‐based cloud service recommendation approaches proposed so far and highlights the current trend towards use new technologies such as deep learning to deal with certain challenges.

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Recommending cloud services based on social trust: An overview

Lebib,

Kichou

2024

Concurrency and Computation

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Assessment of cloud service trusted state based on fuzzy entropy and Markov chain

Yang,

Jiang,

Wang

et al. 2024

Sci Rep

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In the era of cloud service popularization, the trustworthiness of service is particularly important. If users cannot prevent the potential trustworthiness problem of the service during long-term use, once the trustworthiness problem occurs, it will cause significant losses. In order to objectively assess the cloud service trustworthiness, and predict its change, this paper establishes a special hierarchical model of cloud service trustworthiness attributes. This paper proposes corresponding management countermeasures around the model, defines the cloud service trustworthiness level, defines the cloud service trusted state based on fuzzy entropy and Markov chain, constructs the membership function of the cloud service trusted state, and realizes the assessment of cloud service trustworthiness and its changes according to the prediction method of Markov chain. Through case analysis and method comparison, it shows that the method proposed in this paper is effective and feasible. This method can provide objective and comprehensive assessment data for the cloud service trustworthiness and its change, makes up the deficiency of fuzzy entropy assessment method. This research has important reference value and significance for the research of cloud service trustworthiness assessment.

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A two-dimensional time-aware cloud service recommendation approach with enhanced similarity and trust

Cited by 2 publications

References 43 publications

Recommending cloud services based on social trust: An overview

Recommending cloud services based on social trust: An overview

Assessment of cloud service trusted state based on fuzzy entropy and Markov chain

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