User feature-aware trustworthiness measurement of cloud services via evidence synthesis for potential users

Trustworthy Service Selection Integrating Cloud Model and Possibility Degree Ranking of Interval Numbers

“…, ω n } denotes the weights vector of QoS attributes, which can be gained by FAHP method used in Ref. [5]. On the basis of this weights vector, the weighted comprehensive trustworthiness of every cloud service can be calculated with Eq.…”

“…The response time is used to measure the trustworthiness of service by utilizing the same calculation method with Ref. [5]. The Mean absolute error (MAE) is used to measure the accuracy of service selection method, which is defined as Eq.…”

“…However, due to the uncertainty of dynamic cloud environment and the diversity of client context, the Quality of experience (QoE) [3,4] of Cloud service consumers (CSC) is often different with Quality of service (QoS) claimed by CSP. Meanwhile, a large number of non-professional users who have no direct usage experiences are becoming the key potential users in cloud service market [5] . It is significant to help potential users to select the trustworthy services from abundant candidates, which facilitate CSP to make huge profits by exploiting the long tail effect.…”

“…INT assumes that the range from upper limit a + to lower limit a − is with the uniform probability distribu-tion. However, the real QoS of service experienced by CSC tends to be influenced by multiple factors, such as client context [14] , device type [15] , geographical location [16] and user features [5] . These users with similar client features usually obtain the similar QoE.…”

A Security Protocol for Trusted Access to Cloud Environment

“…However, the user data are not stored at the users' own host computers, but on the servers located in Europe, Asia or other countries. To ensure that cloud services can be acceptable to more potential users, Reference [1] presents a user feature-aware trustworthiness measurement approach for potential users. Multi tenant is an important feature of cloud computing, users sharing virtual cloud resources will be faced with data leakage if there is loophole in the software running on the cloud platform [2].…”