Abstract : Apache Spark is a distributed open source framework for big data processing. The performance of Spark is greatly affected by parameter configuration settings. To get the best performance from Spark is still a big challenge because of a large number of parameters. This parameter is tuned manually by experimentation which is not effective. Besides, these parameters must be re-tuned for various applications. In this work, a method based on machine learning is proposed and developed to effectively s Full article
Abstract : In order to solve the modeling problems of saturated porous media, the engineering mixture theory was used to formulate the bulk constitutive theoretical framework of saturated porous media. Firstly, Supposing that the bulk deformation works of porous solid and fluid matrix were mutually independent and using Terzaghi’s effective spherical stress and pore pressure and fluid matrix pressure as stress state variables of constitutive model, the bulk stains expressions of solid phase and solid Full article
Abstract : With the increasing contradiction between water supply and demand in large-scale irrigation areas in Northwest China, food production security has gradually become a major threat. The traditional optimized canal water distribution model is mainly based on the objective function to optimize the crop water demand configuration, and the objective function parameters and constraints are more complicated. It is difficult to achieve global optimization of water distribution. This paper takes the Xidon Full article