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Related Experiment Videos

Decision support for personalized cloud service selection through multi-attribute trustworthiness evaluation.

Shuai Ding1, Cheng-Yi Xia, Chen-Yi Xia2

  • 1School of Management, Hefei University of Technology, Hefei, P.R. China; Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei, P.R. China.

Plos One
|June 28, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for selecting cloud services based on trustworthiness. It addresses challenges with limited data and expertise, offering personalized evaluations for better dependability and security assessments.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Information Systems

Background:

  • Growing demand for dependable and secure cloud services necessitates robust trustworthiness evaluation.
  • Existing evaluation methods are complex, costly, and impractical for many customers, especially with limited historical data.
  • Current models struggle with cloud services possessing few historical records.

Purpose of the Study:

  • To propose a novel service selection approach that integrates missing value prediction and multi-attribute trustworthiness evaluation.
  • To enable personalized trustworthy service selection using limited historical records.
  • To improve upon existing methods for cloud service dependability and security assessment.

Main Methods:

  • Developed a novel approach combining missing value prediction with multi-attribute trustworthiness evaluation.
  • Utilized limited historical records for personalized service selection.
  • Experimental validation against competing approaches.

Main Results:

  • The proposed approach effectively handles cloud services with limited historical data.
  • Experimental results demonstrate superior performance compared to existing methods.
  • The approach aligns better with customer preferences and expectations for trustworthiness.

Conclusions:

  • The novel approach provides a practical and personalized solution for cloud service selection.
  • It enhances the ability to assess cloud service dependability and security effectively.
  • This method overcomes limitations of existing trustworthiness evaluation techniques.