Assessment of cloud service trusted state based on fuzzy entropy and Markov chain DOI Creative Commons
Ming Yang,

Rong Jiang,

Jia Wang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 3, 2024

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

Language: Английский

A user demand acquisition method for cloud services based on user sentiment analysis and long- and short-term preferences DOI
Huining Pei, Mingzhe Xu, Xinyu Liu

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103122 - 103122

Published: Jan. 24, 2025

Language: Английский

Citations

0
Recommending cloud services based on social trust: An overview DOI
Fatma Zohra Lebib, Saida Kichou

Concurrency and Computation Practice and Experience, Journal Year: 2024, Volume and Issue: 36(25)

Published: Aug. 20, 2024

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

Language: Английский

Citations

3
Assessment of cloud service trusted state based on fuzzy entropy and Markov chain DOI Creative Commons
Ming Yang,

Rong Jiang,

Jia Wang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 3, 2024

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

Language: Английский

Citations

0