Оркестрация взаимодействия в центре обработки данных интеллектуальной транспортной системы города

Bibliographic Details
Parent link:Информационные технологии в науке, управлении, социальной сфере и медицине: сборник научных трудов VI Международной конференции, 14-19 октября 2019 г., Томск/ Национальный исследовательский Томский политехнический университет (ТПУ) ; ред. кол. О. Г. Берестнева [и др.]. [59-64].— , 2019
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
Other Authors: Утепбергенов И. Т., Сонькин Д. М. Дмитрий Михайлович, Яворский В. В., Фофанов О. Б. Олег Борисович, Чванова А. О., Клюева Е. Г.
Summary:Заглавие с титульного экрана
The concept of improving the management of urban transport systems, which can be implemented within the framework of intelligent transport system (ITS). At the new level, a system of traffic management and urban public transport should be considered and implemented. The scheme of interaction of providing subsystems of intellectual transport system and subsystems of management of city transport system is analyzed. As part of the creation of intelligent transport systems, it is planned to integrate various information structures and systems. Orchestrators can be used to provide load balancing, scalability, and fault tolerance. Orchestration is the coordination of the interaction of multiple data drives. Analytical systems that will operate within the framework of the ITS system: «smart» transport, involve working with both structured and unstructured data. Implementation of data storage systems will ensure data collection and storage for further optimization of work with them using orchestration technologies. Next, you need to create a single platform to automate the configuration and management of the entire life cycle of various data center resources: network, server, storage resources. The unified management and orchestration system includes software integration with high-level business applications and a self-service portal.
Published: 2019
Series:Технологии больших данных
Subjects:
Online Access:http://earchive.tpu.ru/handle/11683/57380
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=630705