Monitoring Mobile Information Processing Systems

Main Article Content

Oleg Panarin
Igor Zacharov

Abstract

We describe the implementation of the monitoring for the IT systems at the core of the autonomous driving vehicle. The role of the monitoring is to assist in decision to start the driving cycle and continuous assessment for the fitness to drive the vehicle. The requirements for the monitoring system with the increased resiliency and data replication make it sufficiently different from standard monitoring systems and warrant a unique implementation tuned for the autonomous driving requirements. The monitoring system combines the OS events and real-time measurements of sensor data. The information is stored in flat files for emergency access as well as in a Time Series Data Base (TSDB).

Article Details

Author Biographies

Oleg Panarin

Manager of Data and Information Services at Skolkovo institute for Science and Technology specializing in High Performance Computing and System Monitoring.

Igor Zacharov

Senior researcher at Skolkovo institute for Science and Technology specializing in High Performance Computing and System Programming.

References

SAE J3016 “Levels of Driving Automation”. URL: https://www.sae. org/ news/2019/01/sae-updates-j3016-automated-driving-graphic (accessed: 12/05/2019)

Nagios. URL: https://www.nagios.org (accessed: 12/05/2019)

Zabbix. URL: https://www.zabbix.com (accessed: 12/05/2019)

Most Comprehensive List of Linux Monitoring Tools For SysAdmin.

URL: https://www.ubuntupit.com/most-comprehensive-list-of-linux-monitoring-tools-for-sysadmin (accessed: 12/05/2019)

Top FREE Server Monitoring Tools. URL: https://www.dnsstuff.com/free-server-monitoring-tools (accessed: 12/05/2019)

In-Time Aviation Safety Management: Challenges and Research for an Evolving Aviation System (2018). ISBN 978-0-309-46880-0. DOI 10.17226/24962

Aircracft Health Monitoring – FAA Perspective, presented to IATA Conference by Tim Shaver, 13 November 2017. URL: https://www.iata.org/whatwedo/ workgroups/Documents/Paperless_Conference_2017/Day1/1130-1200_AircraftHealthMonitoring_FAA.pdf (accessed: 12/05/2019)

NIST Intelligent Systems Division. URL: https://www.nist.gov /el/intelligent-systems-division-73500/ieee-1588 (accessed: 12/05/2019)

NCURSES Programming HOWTO. URL: https://www.tldp.org/HOWTO/ NCURSES-Programming-HOWTO/intro.html (accessed: 12/05/2019).

Akumuli. URL: https://akumuli.org/ (дата обращения: 12/05/2019)

The open platform for beautiful analytics and monitoring. URL: https://grafana.com (accessed: 12/05/2019)

Живчикова Н.С., Шевчук Ю.В. Подсистема архивации данных системы мониторинга Botikmon3 // Научный сервис в сети Интернет: труды XX Всероссийской научной конференции (17–22 сентября 2018 г., г. Новороссийск). М.: ИПМ им. М.В. Келдыша, 2018. С. 223–229.

URL: http://keldysh.ru/abrau/2018/theses/26.pdf doi:10.20948/abrau-2018-26

Лазин Е. Numeric B+tree reference. URL: https://akumuli.org/ akumuli/2017/ 04/29/nbplustree/ (accessed: 20/11/2019)

Панарин О., Захаров И. Особенности мониторинга мобильных систем обработки информации// Научный сервис в сети Интернет: труды XXI Всероссийской научной конференции (23–28 сентября 2019 г., г. Новороссийск). М.: ИПМ им. М.В. Келдыша, 2019. С. 551–560. URL: http://keldysh.ru/abrau/2019/ theses/81.pdf (accessed 16/11/2019). doi: 10.20948/abrau-2019-81

Zacharov I., Arslanov R., Gunin M., Stefonishin D., Bykov A., Pavlov S., Panarin O., Maliutin A., Rykovanov S., Fedorov M., “Zhores” – Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology// Open Engineering. Published 2019-10-26, V. 9. Issue 1. doi: https://doi.org/10.1515/eng-2019-0059