Mar 21 – 27, 2009
Europe/Prague timezone

Analysing ATLAS user behaviour for improved distributed mass-storage performance

Mar 26, 2009, 8:00 AM


Prague Congress Centre 5. května 65, 140 00 Prague 4, Czech Republic
Board: Thursday 012
poster Grid Middleware and Networking Technologies Poster session


Mr Mario Lassnig (CERN & University of Innsbruck)


Unrestricted user behaviour is becoming one of the most critical properties in data intensive supercomputing. While policies can help to maintain a usable environment in clearly directed cases, it is important to know how users interact with the system so that it can be adapted dynamically, automatically and timely. We present a statistical and generative model that can replicate and simulate user behaviour in a large scale data intensive system. This model can help site administrators to anticipate future workload from users and therefore provide accurate local improvements to their storage systems. The theoretical foundation of the model is examined and validated against experimental results from the ATLAS distributed data management system DQ2.


Analysing user behaviour to improve the performance of distributed mass-storage systems.

Primary author

Mr Mario Lassnig (CERN & University of Innsbruck)


Mr Miguel Branco (CERN & University of Southampton) Dr Vincent Garonne (CERN)

Presentation materials