DYNAMIC CONFIGURATION OF THE COMPUTING NODES OF THE ALICE O2 SYSTEM

The ALICE (A Large Ion Collider Experiment) Collaboration is preparing major upgrades for the detectors in 2020 in order to take advantage of the increase of collision rate at up to 50 KHz in the LHC for Pb-Pb beams. Together with these upgrades, the ALICE Online and Offline computing systems are being redesigned and upgraded to a new common system called O2. The O2 system is made of a software framework and a computing facility. The concept of the framework consists of implementing an online reconstruction and archiving of the data of all reconstructed collisions to permanent data storage. The main objective is to achieve a high-throughput system on heterogeneous computing platforms. Our KMUTT team has taken the responsibility of designing of accomplishing the design of the Control, Configuration, and Monitoring (CCM) of the computing infrastructure. This thesis is focusing on Configuration. The configuration module should allow dynamic configuration of processes and environment parameters during runtime. Based on the current status of all machines participated in the computation, parameters can be tuned both manually and automatically to achieve a better performance, utilization, and efficiency of the computing clusters.