Toyota Jidosha Kabushiki Kaisha

Korea Advanced Institute of Science and Technology

Chunghan Lee

Jinwoo Park

Dongsu Han

Byoungkwon Choi

A first communication node includes, in a first message generated by a first application addressed to a second communication node, a first communication node for tracking said first message among a plurality of communication nodes, and adding location information indicating the location of the first trace information to a predetermined position before the first message in the first packet containing the first message, transmit the first packet to which the first trace information and the location information have been added.

Information processing method

A first module included in a first communication node executes: receiving, from a first application, a first packet that is generated in accordance with a first protocol and is generated addressed to a second communication node, adding first trace information to a predetermined region in the first packet, and passing the first packet, to which the first trace information is added, to a second layer in order to transmit the first packet to the second communication node. The first application executes deleting second trace information from a second packet that is sent from the second communication node and passing the second packet to the first application. In the case where the first application generates the first packet in response to the second packet, the first module generates, as the first trace information, information corresponding or identical to the second trace information included in the second packet.

Communication method

An information processing apparatus comprises a controller. The controller is configured to execute: acquiring a plurality of datasets, each of the datasets being configured with a combination of training data and a correct answer label; and implementing machine learning of an estimation model using the acquired plurality of datasets, wherein the training data includes workload information about an application constructed based on a microservice architecture and resource use information about resources used for each of components included in the application, in a learning target environment, the correct answer label is configured to show a true value of quality of service of the application, and the machine learning comprises training the estimation model such that, for each of the datasets, an estimated value of the quality of service calculated with the estimation model based on the training data corresponds to the true value shown by the correct answer label.

Growing community of inventors

Toyota, Japan

Chunghan Lee