Abstract
INTRODUCTION: Trust is an important indicator in the cloud computing environment for service selection and recommendation. It is a difficult task to create a composite value-added service from several candidate services for the desired objectives due to the dramatic gr
Highlights
Trust is an important indicator in the cloud computing environment for service selection and recommendation
In the hybrid collaborative filtering method, a new service ranking similarity computation is optimized for the cloud-based service selection
Probabilistic cloud service selection is used to compute the cloud service ranking similarity based on the attribute utility measure and the top-k customer selection estimation as shown in fig 1
Summary
Trust is an important indicator in the cloud computing environment for service selection and recommendation. A hybrid collaborative approach is totally based on confidence to the QoS web service prediction. METHODS: A new service ranking similarity computation is optimized for the cloud-based service selection This collaborative filtering measure is used to check the top k customer selection by performing the top-k customer selection estimation on the cloud service ranking RESULTS: The proposed method is useful in the prediction of QoS values and helps with optimal service ranking. The QoS properties can be used in order to evaluate the degree of conformance of the desired service to a specific quality requirement. Such properties are split into two categories such as technical and managerial. The computing resources have become less expensive, more powerful resulting from innovations brought into the processing as well as storage technologies
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