Abstract: The cloud computing system is a high coupling system consisting of large number of nodes. By defining general thermodynamic parameters projected in phase space of cloud computing system, i.e., physical quantities such as general normalized temperature, general absolute temperature, general normalized entropy, center of gravity, the analysis of cloud computing system can be changed into the phase space of thermodynamics system. Thermodynamic parameters in phase space of the cloud computing system reflect system's whole performance, and realize evaluations on external load request, load balance, and node parameter change. Meanwhile, the simulation experiment proves that this analytical method is helpful to analyze the cloud computing system.

Key words: cloud computing, phase space, general thermodynamic parameter, thermodynamics, entropy

摘要： 云计算是由海量节点构成的高耦合系统，通过定义云计算系统在相空间的映射及相应的广义热力学参数：广义归一化温度、广义绝对温度、广义归一化熵、重心等物理量，将对云计算系统的研究转变为对相空间热力学系统的研究。云计算系统的相空间广义热力学参数反映了系统的整体工作状态，能对系统当前的外部负载请求情况、负载均衡情况、节点参数变化情况进行评价。仿真实验证明了这一分析方法在云计算系统分析中的可行性和有效性。

关键词: 云计算, 相空间, 广义热力学参数, 热力学, 熵