Wednesday, October 20, 2021
MLIT Conference Hall, Online seminar via Webex
Sergey Belov

Big Data Methods and Technologies for solving high energy physics problemsin in a distributed computing environment

(based on the PhD thesis)

The report is devoted to the results of research on the development and development of methods, models, and software systems for Big Data analytics for solving high-energy physics problems using distributed processing approaches. Presented an approach to improve the automation and reliability of event modeling data for collider experiments. The problems of using Big Data technologies to monitor data transmission in a global computing environment and determine the demand for data from the ATLAS experiment are considered. Presented approaches for building an analytical platform and using its prototype for socio-economic research (monitoring the labour market at the country scale).

More information on the seminar and the link to connect via Webex are available at Indico.