학술논문

Automatic Data Workflow and Disk Management Tool for the ALICE Experiment
Document Type
Conference
Source
2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP) Intelligent Computer Communication and Processing (ICCP), 2023 IEEE 19th International Conference on. :137-143 Oct, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Large Hadron Collider
Fault detection
Europe
Linear particle accelerator
Data transfer
Real-time systems
Physics
run entity
data management system
monitoring dashboards
PostgreSQL databases
automatic data workflow mechanism
automatic actions
Language
ISSN
2766-8495
Abstract
CERN is an European research facility that operates the largest and most powerful particle accelerator in the world, called the Large Hadron Collider (LHC). The LHC hosts four large experiments studying proton–proton and heavy-ion collisions at high energies. One of the four experiments is ALICE, specifically designed to study the physics of heavy-ion collisions. The experiments collect hundreds of PB of data each year and require complex mechanisms to maintain and distribute these data over many different storage elements around the world on the Worldwide LHC computing Grid. This paper describes a data management system used by ALICE, which maintains the data workflow from the experimental apparatus to the primary 150 PB disk storage. The system operates in real time and fulfills stringent requirements for transfer speed, transfer control, and monitoring. It is also completely automatic and autonomous, with sophisticated fault detection along the entire data transfer and registration process.