MeURep: A novel user reputation calculation approach in personalized cloud services

Area of Science:

• Cloud Computing
• Information Systems
• Data Science

Background:

• Personalized cloud services rely heavily on user-provided Quality-of-Service (QoS) data for selection.
• The increasing number of cloud services makes it challenging for users to choose appropriate options.
• Ensuring the reliability of users providing QoS data is a significant problem, as unreliable users can negatively impact service selection.

Purpose of the Study:

• To address the challenge of unreliable users in personalized cloud service selection.
• To propose a novel framework and approach for measuring user reliability.
• To enhance the accuracy and efficiency of cloud service selection based on trusted QoS data.

Main Methods:

• Development of a cloud service selection framework incorporating user reputation.
• Introduction of a new user reputation calculation approach named MeURep.
• Evaluation of MeURep through experimental analysis, including L1-MeURep and L2-MeURep variations.

Main Results:

• The proposed MeURep approach demonstrates higher efficiency compared to existing methods.
• MeURep effectively measures user reliability, contributing to more dependable QoS data.
• Experimental results validate the effectiveness of the user reputation system.

Conclusions:

• User reputation is a critical factor for reliable personalized cloud service selection.
• The MeURep approach offers a more efficient and effective solution for assessing user reliability.
• Implementing robust user reputation mechanisms is essential for improving cloud service discovery and user satisfaction.