With the growing requirements of users in network storage, a large number of Personal Cloud Storage (PCS) service platforms are emerging. The Quality of Experience (QoE) perceived by the end users has become the common concerned issues of both end users and service providers. The factors that affect QoE in personal cloud storage were analyzed from the aspects of the different features between control flows and data flows. Several indicators were proposed from the end user's perspectives which can reasonably evaluate the QoE of personal cloud storage. The accurate measurement method of the QoE indicators was designed. The measuring tool for QoE of personal cloud services was implemented based on passive measurement; at the same time, the solution was given to solve the issues in tool implementation like special process capture packets and network flow classification. The experimental result shows that the measuring tool can run robust and obtain accurate results, it can be used to measure the QoE of personal cloud services in terminals.