About
The Trigger and DAQ (TDAQ) system of the ATLAS experiment is a very complex distributed computing system, composed of O(10000) of applications running on more than 2000 computers. The TDAQ Controls system has to guarantee the smooth and synchronous operations of all TDAQ components and has to provide the means to minimize the downtime of the system caused by runtime failures, which are inevitable for a system of such scale and complexity.
During data taking runs, streams of information messages sent or published by TDAQ applications are the main sources of knowledge about correctness of running operations. The huge flow of operational monitoring data produced (with an average rate of O(1-10KHz)) is constantly monitored by experts to detect problem or misbehavior.
Given the scale of the system and the rates of data to be analyzed, the automation of the Control system functionality in areas of operational monitoring, system verification, error detection and recovery is a strong requirement. It allows to reduce the operations man power needs and to assure a constant high quality of problem detection and following recovery.
To accomplish its objective, the Controls system includes some high-level components which are based on advanced software technologies, namely the rule-based expert system (ES) and the complex event processing (CEP) engines. The chosen techniques allow to formalize, to store and to reuse the TDAQ experts' knowledge in the Control framework and thus to assist TDAQ shift crew to accomplish its task.
DVS (Diagnostics and Verification System) and Online Recovery components are responsible for the automation of system testing and verification, diagnostics of failures and recovery procedures. These components are built on top of a common technology of a forward-chaining ES framework (based on CLIPS expert system shell), that allows to program the behavior of a system in terms of "if-then" rules and to easily extend or modify the knowledge base.
The…
The talk
Credits and licence
- Institution
- CERN
- Department
- Conferences
- Speaker
- Giuseppe Avolio
- Year
- 2012
- Language
- English
- Subjects
- Physics, Computer science, Earth and environment
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed