Using Multitasking and SSD Disks for Optimising Computing Cluster Energy-Efficiency
The authors tested how Solid-State Drives (SSD) and multitasking, i.e., running more than one task per CPU core, affect performance and energy consumption in I/O intensive data analysis jobs in High-Energy Physics (HEP) computing. Their motivation for the study comes from the LHC experiment at CERN producing up to 15 petabytes of data annually. The data is analyzed by a huge grid computing infrastructure containing more than 100 000 CPU cores over 140 computing centers in different countries. Their tests indicated that in I/O intensive HEP computing multitasking, mixing heterogeneous tasks, and using SSD disks can clearly improve throughput and lower energy consumption.