FRAMEWORK FOR PROVIDING RECOMMENDATIONS FOR MIGRATION OF DATABASE TO CLOUD COMPUTING SYSTEM

In order to obtain one or more recommendations for the migration of a database to a cloud computing system, information about performance of the database operating under a workload may be obtained. Afirst machine learning model (e.g., a neural network-based autoencoder) may be used to generate a compressed representation of characteristics of the database operating under the workload. The compressed representation may then be provided as input to a second machine learning model (e.g., a neural network-based classifier), which outputs a recommendation regarding a characteristic (e.g., size, configuration, level of service) of the cloud database to which the database should be migrated. The type of recommendation may be made prior to migration, thereby making it easier to properly estimatethe cost of running the cloud database and plan the migration accordingly. 为了获得针对数据库到云计算系统的迁移的一个或多个推荐，可以获得与在工作负载下操作数据库的性能有关的信息。第一机器学习模型(例如，基于神经网络的自动编码器)可以被用于生成在工作负载下操作的数据库的特性的压缩表示。压缩表示然后可以作为输入被提供给第二机器学习模型(例如，基于神经网络的分类器)，第二机器学习