Nonfunctional performance of cloud services is usually described by quality-of-service (QoS). QoS is an important research topic in cloud computingThis paper proposes a personalized ranking prediction framework, named CloudRank, to predict the QoS ranking of a set of cloud services without requiring additional real-world service invocations from the intended users. Our approach takes advantage of the past usage experiences of other users for making personalized ranking prediction for the current user. This paper mainly focuses on ranking prediction of client-side QoS properties, which likely have different values for different users (or user applications) of the same cloud service