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Description
Abstract:
Cloud Computing is popular Computer for Share the data with different types of computer or other device such as Mobiles, tablets.
To obtain QoS values, real-world invocations on the service candidates are usually required.
We proposes a QoS ranking prediction framework for cloud services by taking advantage of the past service usage experiences of other consumers.
We proposed framework requires no additional invocations of cloud services when making QoS ranking prediction.
Here, we can use Two personalized QoS ranking prediction approaches (CloudRank1 and CloudRank2) are proposed to predict the QoS rankings directly.
