Green Power Constrained Scheduling for Sequential Independent Tasks on Identical Parallel Machines

Energy consumption is a major aspect to consider when designing large scale high performance computing HPC systems. Integrating renewable energy sources to the power supply of an HPC system is an efficient solution to lower its carbon footprint, but it is one faced by challenges since the power production of most renewable sources is variant while the power consumption of the system varies with the workload. Advanced workload management techniques in combination with powering down idle machines allow to increase the efficiency of this solution. We tackle here the problem of scheduling independent tasks on a multi-machine platform that is exclusively run with green energy. We propose different power constrained scheduling algorithms, and evaluate them through an experimental study on an HPC model that considers the possibility to switch machines on or off.