International Business Machines Corporation

Baidu Online Network Technology (beijing) Co., Ltd.

Wang Liu

Meng Wan

Li Hui Guo

Hong Yan Zhang

Xue Rui Hu

Mei Qin Si

Guanming Cai

Binglin Zhang

Lihui Xun

Described are techniques for predictive microservice activation. The techniques include training a machine learning model using a plurality of sequences of coordinates, where the plurality of sequences of coordinates are respectively based upon a corresponding plurality of series of vectors generated from historical usage data for an application and its associated microservices. The techniques further include inputting a new sequence of coordinates representing a series of application operations to the machine learning model. The techniques further include identifying a predicted microservice for future utilization based on an output vector generated by the machine learning model. The techniques further include activating the predicted microservice prior to the predicted microservice being called by the application.

Predictive microservices activation using machine learning

In an approach for smart test data workload generation, a processor receives a plurality of expected image frames for a user interface application to be tested. The plurality of expected image frames is pre-defined and represents a series of workflows and operations of the user interface application to be expected based on a design requirement. A processor calculates a first set of hash-values for each corresponding expected image frame. A processor samples the user interface application with a frequency to a plurality of testing image frames during a test run on the user interface application. A processor calculates a second set of hash-values for each sampled testing image frame. A processor compares the first set of hash-values to the second set of hash-values. A processor verifies that the second set of hash-values matches the first set of hash-values.

Smart test data workload generation

The present disclosure provides a method and a system for updating an in-vehicle navigation map, an in-vehicle navigation device, and a mobile terminal. The method includes: establishing a connection with a mobile terminal; sending a configuration file of the in-vehicle navigation map to the mobile terminal via the connection, in which the configuration file includes regions and versions of map data corresponding to the regions; receiving latest map data sent by the mobile terminal, and updating the map data of regions corresponding to the latest map data, in which the latest map data is obtained by the mobile terminal according to the configuration file.

Method and system for updating in-vehicle navigation map, in-vehicle navigation device and mobile terminal

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Beijing, China

Wang Liu