Comparative analysis of neural network algorithms for cloud computing
Cloud computing today is one of the most powerful computing infrastructures. Currently, most cloud platforms are based on operating systems that use basic CPU scheduling algorithms, but, as a result, do not have enough intellectual component to build an innovative computational model. The paper presents the advantages of using artificial neural network algorithms in terms of increasing the efficiency of processor scheduling in cloud computing. In addition, a set of characteristics and theoretical indicators are proposed for comparing various mechanics of artificial neural networks and finding the optimal algorithm for planning cloud computing CPU.