Computing framework for the LHC: current status and challenges of the High Luminosity LHC future
D. Adamová · 2014
During the first years of the LHC operations the computing infrastructure for the LHC data handling performed extremely well and enabled fast delivery of spectacular physics results.Towards the end of this period (Run 1), the LHC produced almost 30 PetaBytes (PB) of RAW data in one year and the computing and storage resources available within the LHC Computing Grid (WLCG) were used up to the limits.The ongoing LHC upgrade for higher luminosities and energies (HL-LHC) will bring data volumes dramatically larger than during Run 1.The current rate of Grid growth will not meet the new demands.For the upcoming HL-LHC, the experiments must adapt their computing models, speed up simulations, use parallelization at all levels and re-engineer experiment software.In addition, the LHC computing must reach out and use external resources and non traditional solutions like Big Data, High Performance Computing centers and Clouds.In this contribution, we will give an overview of the current status of the LHC computing infrastructures and the revisions under way in preparation for the HL-LHC.