Abstract: 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.

Key words: Personal Cloud Storage (PCS), passive measurement, Quality of Experience (QoE), measuring tool

摘要： 随着用户日益增长的网络存储需求，涌现出了大量个人云存储（PCS）服务平台。个人云存储终端用户使用过程中体验质量（QoE）的测量是终端用户和服务提供商所共同关注的问题。通过从控制流与数据流之间的不同特性方面分析了影响个人云存储体验质量的因素，从终端用户的角度提出了能合理评估个人云存储体验质量的指标，设计了精确测量体验质量评估指标的方法。利用被动测量技术，实现了一个面向终端用户的个人云存储服务体验质量测量工具，同时给出了工具实现中的进程抓包、网络流分类等问题的解决方案。实验结果表明，测量工具运行健壮，测量数据准确，可以用于从用户终端测量个人云存储服务QoE。

关键词: 个人云存储, 被动测量, 体验质量, 测量工具