Microsoft Technology Licensing, LLC

Intaik Park

Pranab Mohanty

Felipe Vieira Frujeri

Ajay Kumar Karanam

Vijay Govind Panjeti

Lucas Lin

Saikat Sen

Ashok Sai Madala

Korhan Ileri

Kieran Brantner-Magee

Mitchell Gregory Spryn

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. A first 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. This type of recommendation may be made prior to migration, thereby making it easier to properly estimate the cost of running the cloud database and plan the migration accordingly.

Framework for providing recommendations for migration of a database to a cloud computing system

Examples for detecting and removing non-natural language within natural language to enhance performing content analysis on the natural language are provided herein. A plurality of terms is identified in a phrase, and a sliding window having a defined length is placed over a first sequence of terms from the plurality of terms. The first sequence of terms includes a first term, a second term, and a third term, the first term and the third term being adjacent to the second term. Based on the first term, the second term, and the third term, a determination is made as to whether the second term represents non-natural language. Upon determining that the second term is non-natural language, the second term is labeled as non-natural language and is removed from the plurality of terms based on determining the second term as non-natural language.

Identifying non-natural language for content analysis

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Intaik Park