Recently, cloud computing has become a vital part that supports people’s normal lives and production. However, accompanied by the increasing complexity of the cloud network, failures constantly keep coming up and cause huge economic losses. Thus, to guarantee the cloud network performance and prevent execrable effects caused by failures, cloud network diagnostics has become of great interest for cloud service providers. Due to the characteristics of cloud network (e.g., virtualization and multi-tenancy), transplanting traditional network diagnostic tools to the cloud network face several difficulties. Additionally, many existing tools cannot solve problems in the cloud network. In this paper, we summarize and classify the state-of-the-art technologies of cloud diagnostics which can be used in the production cloud network according to their features. Moreover, we analyze the differences between cloud network diagnostics and traditional network diagnostics based on the characteristics of the cloud network. Considering the operation requirements of the cloud network, we propose the points that should be cared about when designing a cloud network diagnostic tool. Also, we discuss the challenges that cloud network diagnostics will face in future development.

近年来，云计算已经成为支撑人们正常生活和生产的重要组成部分。然而，伴随着云网络的日益复杂化，故障层出不穷，造成巨大的经济损失。因此，为了保证云网络性能，防止故障造成的恶劣影响，云网络诊断已经成为云服务提供商的极大兴趣。由于云网络的特性（如虚拟化和多租户），将传统的网络诊断工具移植到云网络中面临着一些困难。此外，许多现有工具无法解决云网络中的问题。在本文中，我们根据其特点总结和分类了可用于生产云网络的最先进的云诊断技术。此外，我们还根据云网络的特点，分析了云网络诊断与传统网络诊断的区别。考虑到云网络的运行需求，我们提出了设计云网络诊断工具时应注意的要点。此外，我们还讨论了云网络诊断在未来发展中将面临的挑战。我们提出了在设计云网络诊断工具时应该关注的要点。此外，我们还讨论了云网络诊断在未来发展中将面临的挑战。我们提出了在设计云网络诊断工具时应该关注的要点。此外，我们还讨论了云网络诊断在未来发展中将面临的挑战。