International Business Machines Corporation

Hongxia Li

Xin Peng Liu

Ling Lan

Hai Long Liu

Gary Mazo

Yan Luo

Monvorath Phongpaibul

Tala El Hallak

Rahamim Katan

Stanislav Georgiev

Techniques for context-based keyword grouping for business rule mining are described herein. An aspect includes determining, based on a first corpus, a first list of keywords. Another aspect includes constructing a co-occurrence matrix based on the first list of keywords. Another aspect includes applying a clustering algorithm to the co-occurrence matrix to determine a first plurality of keyword groups. Another aspect includes presenting the first plurality of keyword groups to a user via a user interface.

Context-based keyword grouping

A port listening request dynamically generated by an application process hosted in a container can be identified. Whether the application process hosted in the container is trusted can be determined. Responsive to determining that the application process hosted in the container is trusted, a first port to be used as an external port for the application process can be dynamically selected, and a port assignment can be communicated to a container engine, the port assignment indicating the first port is assigned to the application process. The first port can be mapped to a second port assigned as an internal port for the application process. The first port can be opened for the application process.

Dynamically opening ports for trusted application processes hosted in containers

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Markham, Canada

Hongxia Li