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Research on a Trustworthiness Measurement Method of Cloud Service Construction Processes Based on Information Entropy
Gao Tilei1, Li Tong2,3, Yang Ming1
1School of Information, Yunnan University of Finance and Economics, Kunming 650221, China.
This study introduces a trustworthiness hierarchy model for cloud service construction processes (CSCPs). It presents a novel method to measure CSCP trustworthiness, enhancing cloud service quality and reliability.
Area of Science:
- Computer Science
- Software Engineering
- Information Systems
Background:
- Cloud computing is the dominant model, making cloud service trustworthiness paramount.
- The quality of cloud services hinges on their construction processes.
- Measuring the trustworthiness of cloud service construction processes (CSCPs) is vital for developers to identify failure causes and improve quality.
Purpose of the Study:
- To propose a trustworthiness hierarchy model for CSCPs.
- To develop a method for calculating CSCP trustworthiness using information entropy and trustworthiness concepts.
- To verify the method's feasibility and compare its advantages against existing approaches.
Main Methods:
- Developed a trustworthiness hierarchy model for CSCPs, identifying influential factors based on ISO/IEC 12207.
- Created a measurement method integrating information entropy theory and trustworthiness concepts to assess risk uncertainty and loss expectation.
- Calculated the trustworthiness of cloud services and their primary construction processes.
Main Results:
- A novel trustworthiness hierarchy model for CSCPs was established.
- A new method for quantifying CSCP trustworthiness was successfully developed and applied.
- The proposed method demonstrated feasibility and advantages over AHP and CMM/CMMI through a case study.
Conclusions:
- The developed method effectively measures the trustworthiness of cloud service construction processes.
- This approach aids in identifying failure causes and improving overall cloud service quality.
- The method offers a valuable tool for enhancing the reliability and trustworthiness of cloud services.
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