# Real Time Processing

- Institution: CERN
- Department: LPCC Workshops
- Taught by: Vladimir GLIGOROV, Dustin James ANDERSON, Caterina DOGLIONI
- Year: 2015
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3002312)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

The LHC provides experiments with an unprecedented amount of data. Experimental collaborations need to meet storage and computing requirements for the analysis of this data: this is often a limiting factor in the physics program that would be achievable if the whole dataset could be analysed. In this talk, I will describe the strategies adopted by the LHCb, CMS and ATLAS collaborations to overcome these limitations and make the most of LHC data: data parking, data scouting, and real-time analysis..

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## Lectures

1. [Real Time Processing](https://invisiblenetwork.ai/learn/cern/3002312/8b96581dfe71), 35 min (CERN's player)