Abstract: A traditional Chinese medicine composition for recovery phase of exogenous fever and a preparation method therefor. The traditional Chinese medicine composition comprises the following raw materials: radix codonopsis, rhizoma atractylodis macrocephalae, poria cocos, radix ophiopogonis, schisandra chinensis, hairyvein agrimony, perilla seeds, cortex moriradicis, folium eriobotryae, radix platycodi, apricot kernels, and radix glycyrrhizae. According to the monarch, minister, assistant and guide theory of traditional Chinese medicines, the radix codonopsis is used as a monarch drug; fried rhizoma atractylodis macrocephalae, the poria cocos, the radix ophiopogonis, the schisandra chinensis, and the hairyvein agrimony are used as minister drugs; the perilla seeds, the cortex moriradicis, and the folium eriobotryae are used as assistant drugs; and the radix platycodi, the apricot kernels, and the radix glycyrrhizae are used as guide drugs.

Abstract: A system and method for dynamically adjusting the amount of memory allocated to a virtual machine includes generating, by a memory resizing system, a current memory usage profile for the virtual machine. The memory resizing system and the virtual machine are part of a virtual computing system and the current memory usage profile is generated by mapping, as a function of time, memory usage information from the virtual machine. The system and method also include computing an upper baseline based upon a peak memory usage in the current memory profile, updating an initial memory allocation of the virtual machine based upon the upper baseline and a predetermined threshold for obtaining an initial revised memory allocation, determining a moving average of memory usage from a historical memory usage profile, and updating the initial revised memory allocation based upon the moving average of memory usage for obtaining a final revised memory allocation.

Abstract: A system and method for dynamically adjusting the amount of memory allocated to a virtual machine includes generating, by a memory resizing system, a current memory usage profile for the virtual machine. The memory resizing system and the virtual machine are part of a virtual computing system and the current memory usage profile is generated by mapping, as a function of time, memory usage information from the virtual machine. The system and method also include computing an upper baseline based upon a peak memory usage in the current memory profile, updating an initial memory allocation of the virtual machine based upon the upper baseline and a predetermined threshold for obtaining an initial revised memory allocation, determining a moving average of memory usage from a historical memory usage profile, and updating the initial revised memory allocation based upon the moving average of memory usage for obtaining a final revised memory allocation.

Abstract: Systems for computing cluster management. One embodiment commences upon receiving a set of observed workload parameters corresponding to one or more observable workloads that run in a computing cluster. While the workloads are running, workload stimulus and cluster response observations are taken and used to generate a workload resource usage predictive model based on mappings or correlations between the observable workloads parameters and observed resource usage measurements. A set of planned workloads are applied to the workload resource usage predictive model to predict a set of corresponding predicted resource usage demands. The predicted resource usage demands are then mapped to a set of recommended hardware to form resource deployment recommendations that satisfy at least some of the corresponding resource usage demands while also observing a set of hardware model compatibility constraints.

Abstract: An illustrative embodiment disclosed herein is a method by a data analytics chip, including finding a contention within a first predetermined amount of time, sorting user virtual machines based on consumption of each of the user virtual machines, and identifying a first subset of the user virtual machines. The first subset of the plurality of user virtual machines satisfies consumption criteria.