About
The Large Hadron Collider (LHC) is currently running at CERN in Geneva, Switzerland. Physicists are using LHC to recreate the conditions just after the Big Bang, by colliding two beams of particles and heavy ions head-on at very high energy. The project is expected to generate 27 TB of raw data per day, plus 10 TB of "event summary data". This data is sent out from CERN to eleven Tier 1 academic institutions in Europe, Asia, and North America using a multi-gigabits Optical Private Network (OPN), the LHCOPN.
Network monitoring on such complex network architecture to ensure robust and reliable operation is of crucial importance. The chosen approach for monitoring the OPN is based on the perfSONAR MDM framework (http://perfsonar.geant.net), which is designed for multi-domain monitoring environments.
perfSONAR (www.perfsonar.net) is an infrastructure for performance monitoring data exchange between networks, making it easier to solve performance problems occurring between network measurement points interconnected through several network domains. It contains a set of services delivering performance measurements in a multi-domain environment. These services act as an intermediate layer, between the performance measurement tools and the visualization applications. This layer is aimed at exchanging performance measurements between networks, using well defined protocols. perfSONAR is web-service based, modular, and it uses NM-WG OGF standards.
perfSONAR MDM is the perfSONAR version built by GÉANT (www.geant.net), the consortium operating the European Backbone for research and education.
Given the quite particular structure of the LHCOPN, a specially customised version of the perfSONAR MDM was prepared by an international consortium for the specific monitoring of IP and circuits of the LHC Optical Private Network.
The proposed presentation will introduce the main points of the LHCOPN structure, provide an introduction about perfSONAR framework (software, architecture,…
The talk
Credits and licence
- Institution
- CERN
- Department
- Conferences
- Speaker
- Domenico Vicinanza
- 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