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Related Experiment Videos

Trust-Enhanced Cloud Service Selection Model Based on QoS Analysis.

Yuchen Pan1,2, Shuai Ding1,2, Wenjuan Fan1,2

  • 1School of Management, Hefei University of Technology, Hefei, 230009, Anhui, PR China.

Plos One
|November 26, 2015
PubMed
Summary
This summary is machine-generated.

Selecting trustworthy cloud services is crucial for smart cities. This study introduces a novel trust-enhanced similarity model, incorporating social network trust to improve cloud service selection and quality of service (QoS) predictions.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Cloud Computing
  • Smart Cities

Background:

  • Cloud computing is vital for smart city development, presenting numerous services.
  • Selecting trustworthy cloud services is a significant challenge due to the growing user needs.
  • Existing methods often overlook social network trust relationships in service selection.

Purpose of the Study:

  • To propose a cloud service selection model that integrates social network trust.
  • To enhance the accuracy of cloud service recommendation by considering user trust dynamics.
  • To improve the prediction of Quality of Service (QoS) for cloud services.

Main Methods:

  • Measuring direct, indirect, and hybrid trust degrees based on user interaction frequencies.
  • Estimating overall similarity using Jaccard's Coefficient for usability and Pearson Correlation Coefficient for numerical distance.
  • Modifying basic similarity with trust degrees to achieve trust-enhanced similarity.
  • Utilizing trust-enhanced similarity to identify trusted neighbors and predict missing QoS values.

Main Results:

  • The proposed model demonstrates high effectiveness and optimal results through parameter adjustment.
  • The trust-enhanced similarity approach successfully identifies similar trusted neighbors.
  • Cloud services ranked by the model exhibit superior QoS properties compared to existing methods.
  • The model effectively predicts missing QoS values for improved cloud service selection.

Conclusions:

  • The trust-enhanced similarity model offers a significant advancement in cloud service selection.
  • Incorporating social network trust improves the reliability and accuracy of recommendations.
  • The model provides a robust framework for enhancing QoS in cloud-based smart city platforms.