Speakers
Description
The LHC experiments produce petabytes of data each year, which must be stored, processed and analyzed. This requires a significant amount of storage and computing resources. In addition to that, the requirements to these resources are increasing over the years, at each LHC running period.
In order to predict the resource usage requirements of the ALICE Experiment for a particular LHC Run period, we developed flexible and highly configurable simulation tool, which performs discrete event simulation of ALICE data flow processes by taking into account the LHC running conditions and schedule, data management/removal policies, conferences and other criteria.
The tool provides a Web GUI, which allows entering of all the necessary parameters and to graphically visualize the results of simulations, which are done using SIM.JS JavaScript library.
In this paper we will describe the design and the functional structure of the aforementioned tool and present the preliminary results of the simulations.
